Advancing Neurorehabilitation Through Motion Tracking and Virtual Reality: Innovations in Biomechanics and Sensor Technology

The field of neurorehabilitation is undergoing a transformative evolution due to recent breakthroughs in biomechanics and sensor technology. Motion tracking and virtual reality (VR) are at the forefront of these innovations, offering precise and comprehensive tools for analyzing human movement in real-time. These technologies hold great promise for advancing the treatment and assessment of individuals with neurological impairments due to injury or disease, opening the door to new modalities of biomechanical evaluation and therapeutic intervention. While their potential is immense, ongoing research is required to fully integrate these technologies into clinical practice and to rigorously evaluate their impacts through biomechanical analysis.

This Research Topic aims to explore the intersection of motion tracking and VR technologies with biomechanical frameworks to enhance motor recovery and progress rehabilitative science. It seeks to illuminate experimental and computational strategies that provide robust quantitative insights into bodily movement, movement quality, injury mechanisms, and rehabilitation outcomes. The ultimate goal is to establish evidence-based methodologies that improve the efficacy of neurorehabilitation interventions.

The scope of this Research Topic encompasses a range of innovative research areas, focusing on integrating biomechanics with cutting-edge sensor and VR technologies. We invite articles addressing, but not limited to, the following themes:

• Sensor-based kinematic and kinetic analysis for movement evaluation
• Quantitative modeling of human motion using wearable technologies
• Biomechanical interpretations of motor coordination and control strategies
• Development and validation of IMU-based performance profiling and feedback systems
• Integration of screw theory, spatial dynamics, and movement symmetry in rehabilitation
• Experimental validation of body connectivity and effort patterns via biomechanical markers
• Efficacy of VR systems grounded in biomechanical analysis for neurorehabilitation

By emphasizing the importance of biomechanics and innovation, we aim to bridge the gap between engineering, neuroscience, and clinical practice—paving the way for data-driven, technology-enhanced therapeutic approaches. We encourage a broad array of article types in this venture, including original research, reviews, and case studies.