Technology

Multi-level data fusion enables collaborative dynamics analysis in team sports using wearable sensor networks

Published

5 months ago

August 2, 2025

Experimental design and data collection

The experimental protocol was designed to capture collaborative dynamics across varying competitive scenarios while ensuring ecological validity and measurement reliability. Participant selection employed stratified random sampling from a population of semi-professional and collegiate athletes (n = 40, age: 22.6 ± 2.8 years, experience: 8.4 ± 3.2 years) competing in basketball and soccer. Inclusion criteria required a minimum of five years competitive experience, absence of musculoskeletal injuries within the preceding six months, and regular participation in team training sessions. Athletes were divided into balanced teams based on position-specific performance metrics, anthropometric characteristics, and years of competitive experience to minimize skill-level disparities that might confound coordination patterns.

The wearable sensor deployment strategy utilized a multi-nodal configuration designed to capture kinematic, physiological, and positional parameters simultaneously while minimizing interference with natural movement patterns. Each participant was equipped with five distinct sensor units strategically positioned to maximize signal quality while ensuring comfort and safety during dynamic movements. The sensor selection was based on precision requirements for capturing team coordination patterns, with sampling rates calibrated to detect rapid directional changes (15–20 Hz) characteristic of team sports. Each sensor node underwent pre-deployment calibration using manufacturer-specified protocols to ensure measurement consistency across devices (Table 1).

Table 1 Sensor deployment configuration and technical specifications.

Data collection proceeded through a progressive protocol involving standardized small-sided games (4v4, 5v5) and simulated competition scenarios designed to elicit diverse collaborative patterns. The experimental protocol was structured as follows: Week 1–2 (baseline assessment), Week 3–4 (controlled scenarios), Week 5–6 (competitive simulations), Week 7–8 (validation testing). Each session comprised three 15-minute periods separated by 5-minute recovery intervals, with tactical constraints systematically manipulated across trials (e.g., defensive pressure levels: low/medium/high, spatial boundaries: 30 × 20 m/40 × 30 m/50 × 40 m, scoring objectives: possession-based/goal-oriented/transition-focused). Specific game scenarios included: (1) structured positional play with fixed formations, (2) high-pressure defensive scenarios, (3) transition-focused games with rapid possession changes, and (4) free-play competitive matches.

Each session comprised three 15-minute periods separated by 5-minute recovery intervals, with tactical constraints systematically manipulated across trials (e.g., defensive pressure, spatial boundaries, scoring objectives). Environmental conditions were standardized (temperature: 21 ± 1 °C, humidity: 45 ± 5%, indoor facility) to minimize confounding effects on physiological responses and movement patterns.

Quality control measures included pre-session sensor calibration, synchronized time-stamping across all devices, and redundant data storage systems. Signal quality was continuously monitored through real-time visualization interfaces, with automated alerts for sensor displacement or signal degradation. The signal-to-noise ratio (SNR) was calculated for each sensor stream according to:

$$\:SNR=20{\text{l}\text{o}\text{g}}_{10}\left(\frac{{A}_{signal}}{{A}_{noise}}\right)$$

where $\:{A}_{signal}$ represents the amplitude of the intended measurement and $\:{A}_{noise}$ denotes the amplitude of background noise. Data streams with SNR values below 15dB triggered recalibration procedures.

Raw data underwent multi-stage preprocessing to enhance signal quality and ensure compatibility with subsequent analysis algorithms, as illustrated in Fig. 2.

Initial filtering employed a zero-lag fourth-order Butterworth filter with sport-specific cutoff frequencies determined through spectral analysis of pilot data. Sensor fusion at the individual level integrated accelerometer, gyroscope, and magnetometer data through complementary filtering to estimate three-dimensional orientation according to:

$$\:{\theta\:}_{t}=\alpha\:\left({\theta\:}_{t-1}+{\omega\:}_{t}\varDelta\:t\right)+\left(1-\alpha\:\right)\left({\varphi\:}_{t}\right)$$

where $\:{\theta\:}_{t}$ represents the estimated orientation, $\:{\omega\:}_{t}$ denotes angular velocity from gyroscope readings, $\:{\varphi\:}_{t}$ indicates inclination calculated from accelerometer data, and $\:\alpha\:$ represents the filter coefficient.

Ground truth references were established through a multi-method approach combining optical motion capture (12-camera system, 120 Hz) for a subset of trials, expert tactical annotation by qualified coaches (minimum UEFA A/FIBA certified), and performance outcome metrics. This triangulation approach generated validated event markers and coordination classifications that served as training and validation references for subsequent analytical algorithms. Data synchronization across all measurement systems was maintained through a master clock signal with temporal alignment verified through cross-correlation of common movement events.

All experimental procedures were conducted in accordance with the Declaration of Helsinki and relevant institutional guidelines and regulations for human research. The study protocol was reviewed and approved by the Ethics Committee of Dongshin University (approval number: DSU-2023-HR-042). Prior to participation, all athletes were provided detailed information about the study objectives, procedures, potential risks, and benefits. Written informed consent was obtained from all participants, with additional parental/guardian consent secured for any participants under 18 years of age. Participants were informed of their right to withdraw from the study at any time without consequence.

Novel data fusion algorithm design

Multi-level spatiotemporal data fusion architecture

The proposed data fusion framework employs a hierarchical architecture comprising three interconnected processing levels designed to progressively integrate heterogeneous sensor data while preserving critical spatiotemporal relationships. At the foundation, the Sensor-level Fusion (SLF) layer implements device-specific signal processing to harmonize raw measurements from individual sensor nodes. The intermediate Individual-level Fusion (ILF) layer consolidates multi-sensor data streams for each athlete into coherent movement and physiological profiles. The highest-order Team-level Fusion (TLF) layer integrates individual profiles to construct comprehensive collaborative dynamics representations across the entire team structure.

Information flow through this architecture follows a bottom-up processing sequence while incorporating contextual feedback loops to modulate sensor weights based on signal quality and situational relevance. The mathematical formulation of this hierarchical integration can be expressed as:

$$\begin{aligned} F_{{team}} = & \Phi _{{TLF}} \left( {W_{{TLF}} \cdot \left\{ {F_{{ind,1}} ,F_{{ind,2}} , \ldots ,F_{{ind,n}} } \right\}} \right) \\ F_{{ind,i}} = & \Phi _{{ILF}} \left( {W_{{ILF}} \cdot \left\{ {F_{{sen,i,1}} ,F_{{sen,i,2}} , \ldots ,F_{{sen,i,m}} } \right\}} \right) \\ F_{{sen,i,j}} = & \Phi _{{SLF}} \left( {W_{{SLF}} \cdot \left\{ {s_{{i,j,1}} ,s_{{i,j,2}} , \ldots ,s_{{i,j,k}} } \right\}} \right) \\ \end{aligned}$$

where $\:{F}_{team}$ represents the team-level fused data, $\:{F}_{ind,i}$ denotes individual-level fusion for athlete $\:i$, $\:{F}_{sen,i,j}$ indicates sensor-level fusion for sensor $\:j$ on athlete $\:i$, $\:{s}_{i,j,k}$ represents raw signal $\:k$ from sensor $\:j$ on athlete $\:i$, $\:\varPhi\:$ symbolizes the fusion operation at each level, and $\:W$ denotes the corresponding weight matrices.

Adaptive weight allocation mechanism

To accommodate the dynamic nature of team sports and varying reliability of sensor signals across different movement contexts, an adaptive weight allocation mechanism was implemented across all fusion levels. This mechanism dynamically adjusts fusion weights based on signal quality metrics, contextual relevance, and historical performance. The weight adjustment process utilizes a reinforcement learning framework with exponential decay to balance immediate signal quality assessments against established reliability patterns:

$$\:{w}_{i,t}=\lambda\:\cdot\:{w}_{i,t-1}+\left(1-\lambda\:\right)\cdot\:{q}_{i,t}\cdot\:{r}_{i,t}$$

where $\:{w}_{i,t}$ represents the weight for data source $\:i$ at time $\:t$, $\:\lambda\:$ denotes the temporal smoothing factor, $\:{q}_{i,t}$ indicates the normalized signal quality metric, and $\:{r}_{i,t}$ represents the contextual relevance score. The quality metric incorporates signal-to-noise ratio, sampling consistency, and measurement uncertainty, while the relevance score is derived from the relationship between sensor positioning and the specific movement patterns being analyzed.

Asynchronous data alignment algorithm

To address the heterogeneous sampling rates and transmission latencies inherent in multi-sensor networks, a novel asynchronous data alignment algorithm was developed. The proposed method extends traditional dynamic time warping with a phase-matched interpolation approach specifically calibrated for periodic and quasi-periodic movement patterns characteristic of team sports. The core alignment function employs a non-uniform B-spline interpolation framework governed by:

$$X_{{aligned}} \left( t \right) = \mathop \sum \limits_{{i = 0}}^{n} P_{i} N_{{i,d}} \left( t \right)$$

where $\:{X}_{aligned}\left(t\right)$ represents the aligned signal at normalized time $\:t$, $\:{P}_{i}$ denotes control points derived from raw measurements, and $\:{N}_{i,d}\left(t\right)$ represents the B-spline basis function of degree $\:d$. The control point distribution is adaptively determined through a movement phase detection algorithm that identifies fundamental movement cycles (e.g., stride cycles, directional changes) and establishes correspondence across multiple sensor streams.

The temporal alignment quality is quantified through a phase coherence metric defined as:

$$C_{{phase}} = \frac{1}{N}\mathop \sum \limits_{{i = 1}}^{N} {\text{cos}}\left( {\phi _{i} – \bar{\phi }} \right)$$

where $\:{\varphi\:}_{i}$ represents the estimated phase of sensor stream $\:i$ and $\:\overline{\varphi\:}$ indicates the reference phase derived from the highest-fidelity sensor available.

Multi-scale feature extraction and fusion

The feature extraction process implements a multi-scale decomposition approach to capture collaborative dynamics across different temporal and spatial resolutions. Wavelet packet decomposition is applied to decompose movement signals into distinct frequency bands corresponding to different movement components:

$$X_{{i,j}}^{k} = \mathop \sum \limits_{l} g_{{j,l – 2n}}^{k} X_{{i,l}}^{{k – 1}}$$

$$Y_{{i,j}}^{k} = \mathop \sum \limits_{l} h_{{j,l – 2n}}^{k} X_{{i,l}}^{{k – 1}}$$

where $\:{X}_{i,j}^{k}$ and $\:{Y}_{i,j}^{k}$ represent the approximation and detail coefficients at scale $\:k$ for node $\:j$ from signal $\:i$, while $\:g$ and $\:h$ denote the low-pass and high-pass filter coefficients. This decomposition enables selective amplification of movement patterns most relevant to collaborative dynamics while suppressing sensor noise and individual idiosyncrasies.

Features extracted at multiple scales are subsequently integrated through tensor fusion, preserving the multi-dimensional relationships between athletes, sensor modalities, and temporal evolution:

$$\:\mathcal{T}=\mathcal{X}\underset{1}{\times\:}{W}_{1}\underset{2}{\times\:}{W}_{2}\underset{3}{\times\:}{W}_{3}$$

where $\:\mathcal{T}$ represents the fused tensor, $\:\mathcal{X}$ denotes the original feature tensor, and $\:{W}_{i}$ represents projection matrices for each tensor dimension.

The optimal parameter settings for the data fusion algorithm were determined through systematic grid search optimization using 5-fold cross-validation on a dedicated training dataset (n = 20 participants, 160 sessions). Parameter optimization targeted three objectives: (1) minimizing position estimation error, (2) maximizing signal-to-noise ratio, and (3) maintaining real-time processing capability. The optimization process evaluated 144 parameter combinations across 4 weeks of testing, with final selections representing the Pareto-optimal balance between accuracy and computational efficiency. The detailed parameter settings and their optimization results are summarized in Table 2.

Table 2 Data fusion algorithm parameter settings and optimization Results.

Fusion data quality assessment system

To ensure rigorous evaluation of the fusion outcomes, a comprehensive quality assessment system was established incorporating both technical and functional metrics. The technical quality evaluation employs information-theoretic measures including mutual information and entropy reduction to quantify the information preservation throughout the fusion process:

$$\:{Q}_{info}=\frac{I\left(X;F\right)}{H\left(X\right)}$$

where $\:I\left(X;F\right)$ represents the mutual information between original signals $\:X$ and fused output $\:F$, while $\:H\left(X\right)$ denotes the entropy of the original signals. Functional quality assessment evaluates the practical utility of fused data for collaborative dynamics analysis through comparison with ground truth annotations and established team performance metrics. This dual approach to quality assessment guides the continuous refinement of fusion parameters and adaptation of the algorithm to diverse team sport contexts.

Collaborative dynamics Indicator system construction

Based on the fused multi-source data, a comprehensive collaborative dynamics indicator system was established to quantify team coordination across multiple dimensions. The indicator design follows dynamical systems theory principles, where team coordination emerges from the interaction of individual agents under shared constraints⁵⁸. Each indicator captures specific aspects of coordination: spatial indicators measure formation stability and positional relationships, temporal indicators quantify synchronization and timing, and functional indicators assess task-specific coordination effectiveness. The mathematical foundation ensures that indicators are sensitive to coordination changes while robust to individual performance variations.

This hierarchical framework incorporates metrics from individual, dyadic, sub-group, and whole-team levels to characterize coordination patterns at varying scales of organization. The system integrates spatial, temporal, functional, and contextual dimensions to provide a holistic representation of team collaborative dynamics relevant to performance outcomes in dynamic team sports environments.

Team Spatial collaboration assessment

To quantify spatial coordination patterns, a team spatial entropy method was developed that measures the organizational state of the team formation relative to strategic objectives and environmental constraints. The spatial entropy calculation incorporates both positional and velocity data according to:

$$S_{{spatial}} = – \mathop \sum \limits_{{i = 1}}^{n} \mathop \sum \limits_{{j = 1}}^{m} p_{{i,j}} {\text{log}}\left( {p_{{i,j}} } \right)$$

where $\:{p}_{i,j}$ represents the probability of player $\:i$ occupying spatial zone $\:j$ within the tactical reference frame. This metric captures formation stability while accommodating appropriate variability required for adaptive team behavior. Complementing this global measure, a relative position maintenance index quantifies how consistently players maintain functional spatial relationships despite absolute position changes:

$$RPM = \frac{1}{{n\left( {n – 1} \right)}}\mathop \sum \limits_{{i = 1}}^{n} \mathop \sum \limits_{{j = 1,j \ne i}}^{n} \frac{{cov\left( {d_{{i,j}} \left( t \right),d_{{i,j}}^{{ref}} } \right)}}{{\sigma _{{d_{{i,j}} \left( t \right)}} \cdot \sigma _{{d_{{i,j}}^{{ref}} }} }}$$

where $\:{d}_{i,j}\left(t\right)$ represents the distance between players $\:i$ and $\:j$ at time $\:t$, and $\:{d}_{i,j}^{ref}$ indicates the reference distance defined by tactical principles.

Temporal collaboration pattern recognition

For identifying recurrent temporal patterns in team coordination, a multi-scale cross-recurrence quantification analysis (MS-CRQA) algorithm was implemented. This approach detects synchronization patterns across multiple time scales by analyzing the cross-recurrence plots between pairs of movement trajectories:

$$CR_{{i,j}}^{\varepsilon } \left( {m,n} \right) = \Theta \left( {\varepsilon – \parallel X_{i} \left( m \right) – X_{j} \left( n \right)\parallel } \right)$$

where $\:{X}_{i}\left(m\right)$ and $\:{X}_{j}\left(n\right)$ represent the state vectors for players $\:i$ and $\:j$ at times $\:m$ and $\:n$ respectively, $\:\varTheta\:$ is the Heaviside function, and $\:\epsilon\:$ is the threshold distance. From these recurrence plots, quantitative measures including diagonal line entropy, determinism, and lamination are extracted to characterize the predictability and stability of coordination patterns.

The temporal synchronization between team members is further quantified through phase coherence analysis based on Hilbert transformation of movement signals:

$$\begin{aligned} \phi _{i} \left( t \right) = & {\text{arctan}}\left( {\frac{{H\left[ {x_{i} \left( t \right)} \right]}}{{x_{i} \left( t \right)}}} \right) \\ R\left( t \right) = & \left| {\frac{1}{n}\mathop \sum \limits_{{j = 1}}^{n} e^{{i\phi _{j} \left( t \right)}} } \right| \\ \end{aligned}$$

where $\:{\varphi\:}_{i}\left(t\right)$ represents the instantaneous phase of player $\:i$’s movement, $\:H\left[{x}_{i}\left(t\right)\right]$ denotes the Hilbert transform of position signal $\:{x}_{i}\left(t\right)$, and $\:R\left(t\right)$ indicates the phase coherence within the team at time $\:t$.

Team-Individual performance relationship framework

To establish the relationship between collaborative dynamics and performance outcomes, a multilevel analytical framework was developed that bridges individual actions, interpersonal coordination, and team-level performance metrics. This framework employs structural equation modeling to quantify direct and indirect contribution pathways:

$$P_{{team}} = \beta _{1} C_{{spatial}} + \beta _{2} C_{{temporal}} + \beta _{3} \mathop \sum \limits_{{i = 1}}^{n} w_{i} P_{{ind,i}} + \varepsilon$$

where $\:{P}_{team}$ represents team performance, $\:{C}_{spatial}$ and $\:{C}_{temporal}$ denote spatial and temporal coordination indices, $\:{P}_{ind,i}$ indicates individual performance metrics, $\:{w}_{i}$ represents player-specific contribution weights, and $\:\beta\:$ values are path coefficients estimated through iterative model fitting.

The differential contribution of players to team coordination is assessed through influence network analysis, which identifies key coordination hubs and quantifies the propagation of movement information throughout the team structure. This approach reveals how tactical leadership emerges dynamically through gameplay rather than being strictly determined by formal role designations.

Visualization and quantitative assessment tools

A suite of visualization and assessment tools was developed to translate complex coordination metrics into actionable insights for coaches and analysts. These tools include interactive heat maps displaying spatial coordination patterns, phase-space portraits revealing system dynamics, and temporal evolution graphs identifying critical transition points in team coordination. Quantitative assessment modules provide automated detection of coordination breakdowns, identification of optimal coordination patterns associated with successful outcomes, and predictive modeling of how interventions might influence collaborative dynamics.

The comprehensive collaborative dynamics indicator system (Table 3) was established to quantify team coordination across multiple dimensions. Figure 3 demonstrates typical coordination patterns captured by these indicators during different game phases.

Table 3 Collaborative dynamics indicator system.

The integration of these indicators into a unified analytical framework provides a comprehensive assessment of team coordination across multiple dimensions and time scales. The modular structure of the indicator system allows for sport-specific customization while maintaining consistent underlying mathematical principles. By bridging theoretical constructs from dynamical systems theory with practical performance metrics, this framework enables both scientific analysis of coordination mechanisms and practical application in training and competition environments.

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Technology

ASUS ROG Unveils 20 Years of Gaming Innovation at CES 2026

Published

3 days ago

January 9, 2026

Your Sports Nation

ASUS Republic of Gamers (ROG) today announced its Dare to Innovate virtual event at CES 2026, unveiling the next chapter of its vision for gaming performance, design, and culture. The showcase celebrates 20 years of fearless innovation, highlighting breakthrough technologies that empower gamers and creators, while reinforcing ROG’s commitment to redefining gameplay, creation, and competitive performance worldwide.

A wide range of next-generation ROG gaming laptops takes center stage at CES 2026, alongside select flagship innovations such as the ROG G1000 gaming desktop, showcasing world-first engineering, AI-driven performance, and advanced thermal design that elevate gaming and creative experiences.

Marking its 20-year milestone, ROG reflects on a legacy defined by bold ideas and pioneering engineering — from early breakthroughs that reshaped high-performance gaming hardware to today’s cutting-edge laptops and desktops built for power, immersion, and reliability. Every milestone embodies the spirit of For Those Who Dare, challenging conventions and redefining what gaming technology can achieve.

Continuing this legacy, innovations from the ROG Lab are highlighted this year, introducing advancements focused on intelligent performance optimisation, thermal mastery, and user-centric design across both laptops and flagship systems, empowering gamers and creators to play, create, and push limits with confidence.

ROG Zephyrus laptops: immersive, AI-powered, and ultraportable

Designed for those who need performance on the go, the Zephyrus line-up delivers all-day power and stunning visuals in a sleek, ultraportable chassis. With smart AI features and efficient cooling, it keeps creators and gamers productive and immersed wherever they are.

ROG Zephyrus G14 and G16

This generation’s ROG Zephyrus G14 (GU405/GA403) and ROG Zephyrus G16 (GU606) redefine what compact performance can deliver, featuring next-gen processing power and a new HDR-class display that delivers higher brightness and visual depth for gamers who want more capabilities in the same sleek footprint.

The Zephyrus G14 (GU405) and G16 (GU606) feature Intel^® Core^™ Ultra Series 3 processors, delivering flexible performance and up to 50 TOPS of NPU power for local AI tasks and in-game AI workflows. The G14 GU405 supports up to an NVIDIA^® GeForce RTX™ 5080 Laptop GPU, and the G16 GU606 up to GeForce RTX 5090, with NVIDIA Blackwell architecture, DLSS 4, and Frame Generation. Max GPU TGP has been increased by up to 23% in manual mode, from 120W to 130W on the G14 and 130W to 160W on the G16. The G14 (GA403) is also available with a next-gen AMD Ryzen™ AI processor, offering Copilot+ certification and local AI execution.

With 50 TOPS of NPU performance and Copilot+, these laptops bring AI-powered acceleration directly to the device for gaming, creating, and multitasking — without relying on the cloud. ROG Intelligent Cooling keeps both models quiet and efficient under load, with a redesigned bottom panel, optimized exhaust vents, and liquid metal on the CPU.

In terms of display, they now feature a new 1100-nit Nebula HDR display with Nebula HDR engine tuning, delivering richer highlights, deeper contrast, and more lifelike HDR visuals, while providing 100% DCI-P3 coverage and Delta E < 1 color accuracy for cinema-grade quality. Extended battery life ensures productivity throughout the day. The laptop also adds a full-size SD card reader for easy media transfer. Powerful as it is, the G14 features a CNC-milled aluminum chassis with a redesigned Slash lighting and glass-mirror finish, combining performance, portability, and style.

ROG Zephyrus Duo 16

The dual-screen ROG Zephyrus Duo 16 (GX651) takes versatility to the next level. Its dual 3K ROG Nebula HDR OLED touchscreens run at 120Hz with a 0.2ms response time, providing smooth, tear-free visuals while supporting multitasking for gaming, streaming, or creative workflows, and the main panel supports NVIDIA G-SYNC^®. Powered by the latest Intel processor and up to an NVIDIA GeForce RTX 5090 Laptop GPU, it handles demanding games, content creation, and AI workloads with ease. ROG Zephyrus Duo enable five operating modes to suit any scenario, while ROG Intelligent Cooling — featuring a vapor chamber, dual fans, and a dedicated graphite sheet — all combine together to provide the best possible performance, providing ultimate flexibility for work, play, and creation.

ROG x Kojima Productions: a visionary gaming collaboration

ROG has partnered with Kojima Productions to merge high-performance gaming technology with visionary storytelling and artistry. The collaboration celebrates creativity, exploration, and immersive experiences, bringing gamers, creators, and dreamers a collection of devices and peripherals that are as functional as they are collectible.

The ROG Flow Z13-KJP stands at the center of this collaboration, merging two decades of ROG’s gaming innovation with Kojima Productions’ visionary storytelling. Designed to reflect and reimagine the studio’s core values, the device draws deep inspiration from its iconic mascot, Ludens. It is a flexible 2-in-1 powerhouse that transforms into a gaming console, a creator tablet, a workstation, or an ultraportable laptop. Powered by the AMD Ryzen AI Max+ 395 processor with Radeon^™ 8060S graphics and a 50 TOPS NPU, it delivers desktop-class performance and on-device AI acceleration in a tablet-sized form factor. Its 13.4-inch 2.5K Nebula HDR touchscreen with a 180Hz refresh rate and a 100% DCI-P3 color gamut offers cinematic visuals and ultra-responsive motion, while the detachable keyboard and slim chassis make play and creation possible anywhere. Designed by Yoji Shinkawa, the chassis blends art and engineering into a collectible piece, enhanced with exclusive Kojima Productions packaging, custom Armoury Crate themes, and Ludens-inspired wallpapers.

ROG G1000: a gaming desktop with holographic innovation

The ROG G1000 redefines what a gaming desktop can be, combining extreme performance with show-stopping innovation. At its core, the built-in AniMe Holo fan is the world’s first holographic fan system in a prebuilt gaming PC that can project customizable holographic visuals, transforming the environment into a medium of personal expression. The AniMe Holo module is housed in an independent chamber that incorporates the hinge-door design, ensuring airflow does not interfere with the main components’ thermal path and helping reduce overall system noise by limiting vibration from the Holo system. The ROG Thermal Atrium, dedicated for CPU cooling, channels fresh air through 420 mm AIO liquid cooler with three fans and isolated airflow paths, ensuring critical components remain cool and stable during extended gaming sessions. Equipped with ROG Astral GeForce RTX 5090 / 5080, ROG Strix GeForce RTX 5070 Ti, or AMD Radeon 9070XT GPUs, up to 128GB DDR5 memory, and up to a 4TB PCIe^® 5.0 SSD, the G1000 is tuned and ready for peak performance from day one. The 104L ATX ultra tower chassis enhances airflow, accommodates larger cooling hardware, and supports easy maintenance, while the Fan Key provides instant one-touch thermal boost. Customization is extensive with Armoury Crate and Aura Sync, letting users control RGB lighting acrossGPU, cooling fans, water-cooling blocks, and the AniMe Holo, delivering a system that is as visually striking as it is powerful. With every unit validated for stability and backed by comprehensive ROG service, the G1000 gives gamers and creators the confidence to push limits without compromise.

Strengthening the ROG community in the UAE

Beyond hardware innovation, ROG continues to invest in its regional gaming community through initiatives such as the ROG Elite Program, which rewards loyal gamers with exclusive benefits, early access opportunities, community events, and competitive experiences across the UAE.

With its latest CES laptop lineup and ongoing community engagement, ROG reinforces its commitment to empowering gamers and creators in the UAE — delivering not just powerful devices, but a connected ecosystem built around performance, creativity, and passion for gaming.

Learn more about the choice of champions at https://rog.asus.com/me-en/

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Technology

CES 2026: Audfly and Thunderobot Jointly Unveil World’s First Focusound-Integrated Gaming Monitor and Laptop

Published

3 days ago

January 9, 2026

Your Sports Nation

LAS VEGAS, NV, UNITED STATES, January 8, 2026 /EINPresswire.com/ — Today, at the opening of CES 2026, Audfly, the global leader in directed audio, and Thunderobot, a premier professional gaming brand, jointly announced a strategic partnership. The two companies have officially unveiled two groundbreaking devices: the world’s first gaming monitor and gaming laptop integrated with Audfly’s Focusound Screen^® technology.
This collaboration marks a historic milestone in the gaming industry, signaling the end of the “headset era” for immersive esports.

Revolutionizing the Sound of Esports Displayed at the Audfly suite in the Bellagio, the new Thunderobot gaming lineup features Audfly’s proprietary Focusound Screen^® technology. This transparent audio layer creates a focused sound field directly from the screen, ensuring that high-octane game audio is delivered exclusively to the player without disturbing others nearby.

“Naked-Ear” Immersion with Hybrid Spatial Audio The highlight of the launch is the debut of Audfly’s Hybrid Spatial Audio technology on the new Thunderobot monitor.

Precision Positioning: By fusing screen-based directional sound with advanced HRTF algorithms, the system achieves precise left-right ear channel separation.
Tactical Advantage: Gamers can now distinguish footsteps, gunfire, and environmental cues with 3D spatial accuracy—without wearing headphones.

Quotes from Leadership “We are thrilled to partner with Thunderobot to bring this technology to gamers worldwide,” said Zhen Li, CEO at Audfly. “Together, we are proving that you don’t need heavy headsets to experience true immersion and privacy.”
Mr. Lu Kailin, the founder and chairman of Thunderobot Technology, added: ‘Thunderobot is committed to ultimate performance. Audfly’s directional sound allows our users to enjoy a private, high-fidelity audio zone even in dorms or shared living spaces. It is a game-changer.’”

Availability Attendees can experience the new Thunderobot devices powered by Audfly at the Bellagio Hotel & Casino through January 9.

About Audfly: Audfly is a global leader in audio innovation and a pioneer in directed audio technology worldwide. Its groundbreaking Focusound Screen^® technology, a transparent film-based directional sound solution, has transformed the integration of audio into consumer electronics. Expanding beyond screens, Audfly also provides versatile directional speaker modules and dual-directional voice interaction solutions tailored for digital signage, kiosks, and intelligent terminals. By creating a personal soundscape with enhanced privacy, immersion, and audio-visual enjoyment, Audfly redefines user experiences across consumer and professional markets.

Media Contact: Brenda Chen csj@audfly.com

Brenda Chen
Audfly Technology (Suzhou) Co., Ltd.
+86 137 6102 7061
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Gaming Peripherals For Esport Market Growth Outlook 2025-2033:

Published

4 days ago

January 9, 2026

Your Sports Nation

Gaming Peripherals For Esport Market

New Jersey, US State: “The global Gaming Peripherals For Esport market in the Consumer Goods and Retail category is projected to reach USD 3.2 billion by 2031, growing at a CAGR of 9.5% from 2025 to 2031. With rising industrial adoption and continuous innovation in Consumer Goods and Retail applications, the market is estimated to hit USD 1.5 billion in 2024, highlighting strong growth potential throughout the forecast period.”

Gaming Peripherals For Esport Market Size & Forecast 2031

The Gaming Peripherals for Esport Market is experiencing strong growth driven by the rapid expansion of competitive gaming, live streaming platforms, and professional esports leagues worldwide. High-performance keyboards, mice, headsets, controllers, and monitors are essential for competitive gameplay, fueling demand among professional players and enthusiasts alike. Continuous advancements in precision engineering, ergonomic design, and customization features are significantly enhancing user experience and performance.

Looking ahead to 2031, market growth is expected to be supported by rising esports sponsorships, increasing participation in online tournaments, and broader adoption of gaming as a mainstream form of entertainment. Integration of wireless low-latency technology, AI-driven customization, and immersive feedback systems will further accelerate demand. As esports ecosystems mature globally, the gaming peripherals market is projected to maintain strong expansion.

Key Players in the Gaming Peripherals For Esport Market

Logitech

Razer

Corsair

SteelSeries

HyperX

ASUS

Roccat

Alienware

Acer

Cooler Master

BenQ

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Factors Supporting Growth of Gaming Peripherals For Esport Market in the Future:

1.Technological Advancements and Innovation:

The continuous evolution of technology is playing a vital role in driving the Gaming Peripherals For Esport market forward. Cutting-edge innovations are improving product functionality, enhancing performance, and reducing costs, making these solutions more accessible to a broader range of industries. Emerging technologies such as AI, IoT, advanced analytics, and automation are also enabling smarter and more efficient use cases, further expanding the scope of the market. These advancements are not only upgrading existing systems but are also creating entirely new application opportunities that will support long-term market expansion.

2. Expanding Applications Across End-Use Sectors:

The increasing integration of Gaming Peripherals For Esport solutions across diverse industries such as automotive, healthcare, consumer electronics, telecom, and industrial manufacturing is significantly boosting market demand. Each sector brings unique requirements, pushing companies to diversify their offerings and customize solutions. This cross-industry relevance ensures consistent demand growth, while rising digitalization and adoption of smart technologies amplify the market potential across both developed and developing regions.

3. Favorable Government Policies and Infrastructure Push:

Supportive initiatives by governments around the world, including funding programs, tax incentives, and policy frameworks, are providing a strong foundation for market development. Efforts to strengthen digital infrastructure, promote energy efficiency, and drive sustainable development are fueling demand for advanced Gaming Peripherals For Esport technologies. Moreover, public-private partnerships and national transformation agendas such as smart cities and Industry 4.0 are creating favorable conditions for rapid market expansion, especially in emerging economies

4. Increased Investment and Focus on Research & Development:

The Gaming Peripherals For Esport market is experiencing a surge in investment from both private and public entities, driven by the urgency to innovate and stay competitive. Companies are dedicating substantial resources to research and development to create next-generation products with higher efficiency, scalability, and environmental sustainability. Venture capital funding, mergers, acquisitions, and collaborations are also contributing to a dynamic ecosystem that fosters experimentation and accelerates commercialization of novel solutions, ensuring sustained market growth in the future.

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Key Segments Covered in Our Report: Gaming Peripherals For Esport Industry

Gaming Peripherals For Esport Market by Input Devices

Gaming Mice

Gaming Keyboards

Game Controllers

Gaming Headsets

Mouse Pads

Gaming Peripherals For Esport Market by Output Devices

Monitors

VR Headsets

Speakers

Streaming Equipment

Capture Cards

Gaming Peripherals For Esport Market by Accessories

Cable Management

Webcams

Microphones

Cooling Pads

Gaming Chairs

The Application segment showcases the industries and sectors that use Gaming Peripherals For Esport products for example Gaming Peripherals For Esport targeting healthcare and automotive industries etc. It also provides a perspective of the market rate of acceptance, usage of the products, and new applications that are paving the way for the future of the market.

Global Gaming Peripherals For Esport Market Regional Analysis

The Global Gaming Peripherals For Esport Market is examined in dimensions of regions, wherein each region has its own market growth, trends as well as dynamics. This section highlights on the detailed market performance, major shifts, and trends and underlying factors explaining growth in different places around the world.

North America: North America accounts for a large share of the Gaming Peripherals For Esport market which is a result of the developed technology, intense consumer market, and huge investments in the Gaming Peripherals For Esport industry. To add, the U.S. market also plays a crucial role as this economy is more concerned with innovation and was also one of the first to implement Gaming Peripherals For Esport products in its Gaming Peripherals For Esport sectors. The region is expected to see a gradual rise till 2031 and this is because of its reinforced infrastructure and existing regulation mechanisms.

Europe: Global has the fastest growing Gaming Peripherals For Esport market and is oriented around environmental protection, renewed efforts and environmental awareness. The market is dominated by countries like Germany, the UK, and France that have improved their technologies and have a strong industrial structure. Increased request for green solutions along with regulatory efforts are increasing demand in the market’s key areas such as Gaming Peripherals For Esport sectors.

Asia-Pacific: The growth potential in the Gaming Peripherals For Esport market is expected to be maximum for Asia-Pacific region. Increased maturation, urban migration as well as expanding middle class in China, India, and Japan and other developing economies are great constituents of market growth. Further, there is an increasing contribution to investments in the Gaming Peripherals For Esport sector which is increasing the demand for Gaming Peripherals For Esport regions-supplying throughout the area.

Rest of the World: Countries and areas like Latin America, Middle East & Africa have also been showing moderate Gaming Peripherals For Esport market growth. Although still developing, these markets are fueled by a fast increasing infrastructure, expending industrial activities and growing consumer demand for Gaming Peripherals For Esport goods. These regions pose great opportunities for the market players to tap into other sources of growth.

Frequently Asked Questions (FAQ) – Gaming Peripherals For Esport Market

Q1: What is the anticipated growth rate of the Global Gaming Peripherals For Esport Market?

A1: With a growth rate of CAGR of 9.5%, the Global Gaming Peripherals For Esport Market is anticipated to reach USD 3.2 billion by 2031. Industrial demand and innovation will lead it to reach USD 1.5 billion by 2024.

Q2: Which regions provide the highest growth opportunities for the Gaming Peripherals For Esport Market?

A2: Asia-Pacific is likely to provide the highest growth prospects based on speedy industrialization and infrastructure growth, followed by robust markets in Europe and North America.

Q3: Which are the primary drivers of market growth?

A3: The primary drivers are technology innovation, growing industrial applications, heightened government initiatives, and expanding use of Gaming Peripherals For Esport solutions in different industries.

Q4: What are the challenges faced by the Gaming Peripherals For Esport Market?

A4: The challenges are tight regulatory systems, high upfront capital expenditures, fragmentation of the market in the emerging markets, and geopolitical risks in some regions.

Q5: Which are the major players in the Global Gaming Peripherals For Esport Market?

A5: The market has a number of leading players with a focus on innovation, strategic alliances, and global expansion.

Q6: How does innovation influence the Gaming Peripherals For Esport Market?

A6: Market growth is driven by innovation, which enhances product efficiency, lowers costs, and facilitates new applications, making the overall market potential broader.

Q7: Which industries utilize Gaming Peripherals For Esport products mostly?

A7: Major industries include manufacturing, automotive, energy, electronics, and infrastructure, among others, where Gaming Peripherals For Esport solutions deliver operational efficiency and sustainability.

Q8: How is the market anticipated to change after 2031?

A8: Although projections beyond 2031 are uncertain, continued technological advancement and increasing industrial demand are expected to continue supporting long-run growth patterns.

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About Us: Market Research Intellect

Market Research Intellect is a leading Global Research and Consulting firm servicing over 5000+ global clients. We provide advanced analytical research solutions while offering information-enriched research studies. We also offer insights into strategic and growth analyses and data necessary to achieve corporate goals and critical revenue decisions.

Our 250 Analysts and SMEs offer a high level of expertise in data collection and governance using industrial techniques to collect and analyze data on more than 25,000 high-impact and niche markets. Our analysts are trained to combine modern data collection techniques, superior research methodology, expertise, and years of collective experience to produce informative and accurate research.

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Market Research Intellect

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Technology

[Latest] Online Gaming Market Size, Innovation Trends, Smart

Published

4 days ago

January 8, 2026

Your Sports Nation

Online Gaming Market

How are innovation trends reshaping demand in the global online gaming market?
Innovation in the online gaming market is increasingly driven by convergence between entertainment, social interaction, and digital economies. Cloud gaming platforms, cross-platform interoperability, and live-service game models are accelerating market penetration by reducing hardware dependency and expanding addressable audiences. Demand is being fueled by rising broadband access and mobile-first strategies, particularly in emerging economies where national digital infrastructure programs aligned with World Bank development priorities are improving connectivity and payment access.

Major demand drivers now extend beyond gameplay to include immersive user experiences, competitive esports ecosystems, and monetization through virtual assets. Regulatory recognition of digital entertainment as a legitimate economic activity in several jurisdictions has strengthened investor confidence and encouraged studio consolidation. From a buyer search intent perspective, enterprises are prioritizing scalable platforms, user retention analytics, and localized content strategies that align with cultural consumption behaviors.

For C-suite leaders, innovation is no longer optional but a core growth lever. Smart solutions such as AI-driven matchmaking and real-time content updates are enabling differentiated value propositions while supporting sustainable revenue models in a highly competitive global market.

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What key technological advancements are defining competitive advantage in online gaming?

Technological advancement in online gaming is centered on artificial intelligence, real-time data processing, and immersive interfaces. AI is being deployed across game design, player behavior prediction, and fraud prevention, enabling publishers to optimize engagement and lifetime value. Advances in graphics processing and game engines are also lowering development cycles while enhancing realism, a critical factor for premium user acquisition.

Cloud-native architectures and edge computing are reducing latency and enabling seamless multiplayer experiences across regions. These developments align with national regulatory bodies’ emphasis on resilient digital infrastructure and cybersecurity, particularly as online gaming platforms handle large-scale user data. Payment technology integration, including secure digital wallets and localized compliance features, is further supporting frictionless transactions.

From a strategic lens, technology adoption is tightly linked to market intelligence. Firms that align R&D investments with regulatory shifts and platform interoperability standards are better positioned to capture enterprise partnerships and long-term growth opportunities.

How are changing consumption patterns influencing online gaming market strategies?

Changing consumption patterns are redefining how online gaming products are developed, distributed, and monetized. Players increasingly favor on-demand, socially connected experiences accessible across devices, reflecting broader digital lifestyle trends. Subscription-based access, free-to-play models with in-game purchases, and community-driven content are now central to revenue strategies.

Health and well-being considerations, acknowledged by global public health authorities, are also shaping product design through features such as playtime controls and age-appropriate content filters. This has influenced regulatory frameworks and reinforced trust among parents and institutional stakeholders. At the same time, mobile gaming growth in urbanizing regions is aligning with environmental efficiency goals promoted by international agencies focused on energy-aware digital consumption.

For market leaders, understanding these behavioral shifts is critical. Data-led segmentation, personalized engagement, and compliance-ready platforms are enabling companies to respond proactively to evolving user expectations while sustaining competitive differentiation.

The competitive landscape of a market explains strategies incorporated by key players of the Online Gaming Market. Key developments and shifts in management in recent years by players have been explained through company profiling. This helps readers to understand the trends that will accelerate the growth of the Online Gaming Market. It also includes investment strategies, marketing strategies, and product development plans adopted by major players of the Online Gaming Market. The market forecast will help readers make better investments.

The report covers extensive analysis of the key market players in the market, along with their business overview, expansion plans, and strategies. The key players studied in the report include:

Tencent Holdings Limited

Sony Corporation

Microsoft Corporation

Apple Inc.

Activision

Blizzard

Inc.

Electronic Arts (EA)

Ubisoft

Take-Two Interactive Software.

Online Gaming Market Segmentation

By Game Type

By Platform

By Business Model

By Geography

• North America

• Europe

• Asia Pacific

• Latin America

• Middle East and Africa

The comprehensive segmental analysis offered in the report digs deep into important types and application segments of the Online Gaming Market. It shows how leading segments are attracting growth in the Online Gaming Market. Moreover, it includes accurate estimations of the market share, CAGR, and market size of all segments studied in the report.

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The regional segmentation study is one of the best offerings of the report that explains why some regions are taking the lead in the Online Gaming Market while others are making a low contribution to the global market growth. Each regional market is comprehensively researched in the report with accurate predictions about its future growth potential, market share, market size, and market growth rate.

Geographic Segment Covered in the Report:

• North America (USA and Canada)

• Europe (UK, Germany, France and the rest of Europe)

• Asia Pacific (China, Japan, India, and the rest of the Asia Pacific region)

• Latin America (Brazil, Mexico, and the rest of Latin America)

• Middle East and Africa (GCC and rest of the Middle East and Africa)

Key questions answered in the report:

• What is the growth potential of the Online Gaming Market?

• Which product segment will take the lion’s share?

• Which regional market will emerge as a pioneer in the years to come?

• Which application segment will experience strong growth?

• What growth opportunities might arise in the Welding industry in the years to come?

• What are the most significant challenges that the Online Gaming Market could face in the future?

• Who are the leading companies on the Online Gaming Market?

• What are the main trends that are positively impacting the growth of the market?

• What growth strategies are the players considering to stay in the Online Gaming Market?

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Mr. Edwyne Fernandes

US: +1 (650)-781-4080

US Toll-Free: +1 (800)-782-1768

About Us: Verified Market Research

Verified Market Research is a leading Global Research and Consulting firm servicing over 5000+ global clients. We provide advanced analytical research solutions while offering information-enriched research studies.

We also offer insights into strategic and growth analyses and data necessary to achieve corporate goals and critical revenue decisions.

Our 250 Analysts and SMEs offer a high level of expertise in data collection and governance using industrial techniques to collect and analyze data on more than 25,000 high-impact and niche markets. Our analysts are trained to combine modern data collection techniques, superior research methodology, expertise, and years of collective experience to produce informative and accurate research.

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Technology

ASUS Republic of Gamers presents next-gen gaming innovations, commemorates 20 years of gaming excellence at CES 2026

Published

4 days ago

January 8, 2026

Your Sports Nation

ROG Zephyrus laptops: immersive, AI-powered, and ultraportable

ROG Zephyrus G14 and G16

The Zephyrus G14 (GU405) and G16 (GU606) feature Intel Core Ultra Series 3 processors, delivering flexible performance and up to 50 TOPS of NPU power for local AI tasks and in-game AI workflows. The G14 GU405 supports up to an NVIDIA GeForce RTX 5080 Laptop GPU, and the G16 GU606 up to GeForce RTX 5090, with NVIDIA Blackwell architecture, DLSS 4, and Frame Generation. Max GPU TGP has been increased by up to 23% in manual mode, from 120W to 130W on the G14 and 130W to 160W on the G16. The G14 (GA403) is also available with a next-gen AMD Ryzen AI processor, offering Copilot+ certification and local AI execution.

In terms of display, they now feature a new 1100-nit Nebula HDR display with Nebula HDR engine tuning, delivering richer highlights, deeper contrast, and more lifelike HDR visuals, while providing 100 per cent DCI-P3 coverage and Delta E < 1 color accuracy for cinema-grade quality. Extended battery life ensures productivity throughout the day. The laptop also adds a full-size SD card reader for easy media transfer. Powerful as it is, the G14 features a CNC-milled aluminum chassis with a redesigned Slash lighting and glass-mirror finish, combining performance, portability, and style.

ROG Zephyrus Duo 16

The dual-screen ROG Zephyrus Duo 16 (GX651) takes versatility to the next level. Its dual 3K ROG Nebula HDR OLED touchscreens run at 120Hz with a 0.2ms response time, providing smooth, tear-free visuals while supporting multitasking for gaming, streaming, or creative workflows, and the main panel supports NVIDIA G-SYNC. Powered by the latest Intel processor and up to an NVIDIA GeForce RTX 5090 Laptop GPU, it handles demanding games, content creation, and AI workloads with ease. ROG Zephyrus Duo enable five operating modes to suit any scenario, while ROG Intelligent Cooling — featuring a vapour chamber, dual fans, and a dedicated graphite sheet — all combine together to provide the best possible performance, providing ultimate flexibility for work, play, and creation.

ROG x Kojima Productions: a visionary gaming collaboration

The ROG Flow Z13-KJP stands at the center of this collaboration, merging two decades of ROG’s gaming innovation with Kojima Productions’ visionary storytelling. Designed to reflect and reimagine the studio’s core values, the device draws deep inspiration from its iconic mascot, Ludens. It is a flexible 2-in-1 powerhouse that transforms into a gaming console, a creator tablet, a workstation, or an ultraportable laptop. Powered by the AMD Ryzen AI Max+ 395 processor with Radeon 8060S graphics and a 50 TOPS NPU, it delivers desktop-class performance and on-device AI acceleration in a tablet-sized form factor. Its 13.4-inch 2.5K Nebula HDR touchscreen with a 180Hz refresh rate and a 100 per cent DCI-P3 color gamut offers cinematic visuals and ultra-responsive motion, while the detachable keyboard and slim chassis make play and creation possible anywhere. Designed by Yoji Shinkawa, the chassis blends art and engineering into a collectible piece, enhanced with exclusive Kojima Productions packaging, custom Armoury Crate themes, and Ludens-inspired wallpapers.

ROG G1000: a gaming desktop with holographic innovation

The ROG G1000 redefines what a gaming desktop can be, combining extreme performance with show-stopping innovation. At its core, the built-in AniMe Holo fan is the world’s first holographic fan system in a prebuilt gaming PC that can project customizable holographic visuals, transforming the environment into a medium of personal expression. The AniMe Holo module is housed in an independent chamber that incorporates the hinge-door design, ensuring airflow does not interfere with the main components’ thermal path and helping reduce overall system noise by limiting vibration from the Holo system. The ROG Thermal Atrium, dedicated for CPU cooling, channels fresh air through 420 mm AIO liquid cooler with three fans and isolated airflow paths, ensuring critical components remain cool and stable during extended gaming sessions. Equipped with ROG Astral GeForce RTX 5090 / 5080, ROG Strix GeForce RTX 5070 Ti, or AMD Radeon 9070XT GPUs, up to 128GB DDR5 memory, and up to a 4TB PCIe 5.0 SSD, the G1000 is tuned and ready for peak performance from day one. The 104L ATX ultra tower chassis enhances airflow, accommodates larger cooling hardware, and supports easy maintenance, while the Fan Key provides instant one-touch thermal boost. Customization is extensive with Armoury Crate and Aura Sync, letting users control RGB lighting acrossGPU, cooling fans, water-cooling blocks, and the AniMe Holo, delivering a system that is as visually striking as it is powerful. With every unit validated for stability and backed by comprehensive ROG service, the G1000 gives gamers and creators the confidence to push limits without compromise.

Strengthening the ROG Community in the UAE

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Technology

Gaming brand ROG unveils a range of next-generation gaming innovative products at CES 2026! Wi-Fi 8 router that presents new value, innovative 240Hz AR glasses, and more!

Published

5 days ago

January 8, 2026

Your Sports Nation

ASUS, the Republic of Gamers (ROG) gaming brand, announced its next generation gaming innovations at the CES 2026 ROG – Dare to Innovate virtual launch event on Tuesday, January 6, 2026 at CES 2026. Innovate “, a virtual launch event at CES 2026 on Tuesday, January 6, 2012! The products included the ROG NeoCore Wi-Fi 8-concept router, AR gaming glasses that will transform the gaming experience, and the ROG Falchion Ace 75 HE keyboard with ultra-fast and highly accurate keystrokes.

ASUS announces the next generation of gaming innovations from ROG! New Experiences with the Latest Technology

ASUS announced a range of innovative new products from ROG at the CES 2026 ROG – Dare to Innovate virtual launch event on Tuesday, January 6, 2026 at CES 2026. The new product line was unveiled at the “CES 2026 ROG – Dare to Innovate” virtual launch event. The following products were presented at the event

ROG NeoCore” Wi-Fi 8 concept router and Wi-Fi 8 real-world throughput testing
ROG XREAL R1, a 240Hz micro OLED FHD (1920 x 1080) AR gaming glasses
ROG Kithara” headset with high-quality audio
ROG Falchion Ace 75 HE” layout gaming keyboard with ultra-fast and precise keystrokes

The products introduced at the event consisted of products for the global market and concept products in development, including products that are not yet available in Japan. For further information and details, please visit the official X (@ASUSROGJP ).

ROG NeoCore” Wi-Fi 8 Concept Router Dawns the Technology Era!

ROG

NeoCore

PR TIMES

The ROG NeoCore Wi-Fi 8 router not only delivers a significant improvement in throughput compared to Wi-Fi 7, but also up to twice the medium-range throughput, twice the IoT coverage, and up to one-sixth the P99 latency. This virtually eliminates latency, making it ideal for cloud streaming, real-time voice communication, multi-device team play, and a wide range of other situations. With the launch of ROG NeoCore and the world’s first Wi-Fi 8 real-world throughput tests, we are once again demonstrating our leadership in next-generation Wi-Fi innovation. The first Wi-Fi 8 home router will be available globally in 2026, and will not be available in Japan until further notice.

ROG XREAL R1″ AR gaming glasses for an immersive and realistic gaming experience

ROG XREAL

PR TIMES

ROG

XREAL R1

PR TIMES

Developed in partnership with XREAL, the award-winning AR Smart Glasses for the general public, the XREAL R1 features a 240Hz micro OLED FHD (1920 x 1080) display and is compatible with PCs and other consoles via the ROG Control Dock. The ROG Control Dock provides high connectivity and compatibility with PCs and other consoles. Designed to be optimized for ROG’s portable gaming console, ROG Ally, the headset features a wide 57° viewing angle, native 3-DOFs with 3-axis head movement detection, electrochromic dimming technology, and premium sound audio by Bose. Wear them wherever you go and enjoy the high performance and stunning visual experience that only ROG can deliver.

ROG and HIFIMAN have collaborated to develop the “ROG Kithara” headset for gamers.

ROG and the high-end audio brand HIFIMAN have jointly developed the ” ROG Kithara ” headset for gamers! The headset features an open-back acoustic design and ROG’s customized HIFIMAN 100mm planar field drivers for crisp, realistic, and lifelike sound. A balanced headphone cable with interchangeable plugs and a USB-C adapter are included to ensure high compatibility with a wide range of devices and uncompromised sound quality. The headset is also equipped with a full-band MEMS boom microphone optimized for competitive situations and designed for gamers who demand true hi-fi sound for accurate and clear in-game communication.

ROG Falchion Ace 75 HE 75% Layout Gaming Keyboard with Rapid Trigger

ROG Falchion

Ace 75 HE

PR TIMES

PR TIMES

PR TIMES

The ” ROG Falchion Ace 75 HE ” builds on the technology of its predecessor, the “ROG Falchion Ace HFX”. It features a more spacious 75% layout than all models, upgraded ROG HFX V2 magnetic switches, and the newly developed ROG Hall sensor. In addition, a new sensitivity adjustment wheel has been introduced for easy adjustment on the unit, and the multi-function buttons, interactive touch panel, and popular Rapid Trigger toggle continue to be included. In addition, an ultra-fast polling rate of 8000 Hz provides ultra-fast and highly accurate key input. A convenient carrying case is also included, making it easy to take the device outside! The product will be available in Japan around February 2026.

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