Physiological Signal Sensing and Processing with Wearables for Virtual Reality Systems

Dear Colleagues,

Recent advances in wearable physiological sensing and immersive virtual reality (VR) systems have enabled new approaches for quantifying, guiding, and adapting human interaction with complex tasks. Wearable sensors such as electromyography, electroencephalography, electrodermal activity, heart rate, and inertial measurements support continuous, multimodal assessment of neuromuscular, cognitive, and affective states during immersive training and interaction. When combined with signal processing and adaptive system design, these technologies provide data-driven insights into human performance, engagement, and learning.

This Special Issue seeks original research and review articles addressing physiological sensing, signal processing, and wearable system integration within virtual, augmented, or other extended reality (VR/AR/XR) environments. Contributions may explore how task parameters such as difficulty, progression, and augmented sensory feedback can be leveraged to guide behavior, enhance immersion, and support adaptive interaction. Applications can span human performance assessment, skill acquisition, health and wellness monitoring, and interactive training, including contexts relevant to motor rehabilitation and neurological populations. While technological advancement is central, studies that articulate clear experimental questions or hypothesis-driven evaluations are particularly welcome. Potential topics include, but are not limited to, the following:

• Wearable physiological sensors in VR/AR/XR;
• Signal processing and multimodal data fusion;
• Augmented sensory feedback and closed-loop interaction;
• Immersion, presence, and depth of experience;
• Adaptive task design and interactive training systems;
• Physiological markers of engagement and workload.

Dr. Raviraj Nataraj
Guest Editor

Manuscript Submission Information

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