Research on the application of wireless sensor technology in university yoga training

Zhifang Xiao () and Wentao Guo ()

Edelweiss Applied Science and Technology, 2025, vol. 9, issue 10, 629-642

Abstract: This study aims to design, implement, and validate a wireless sensor network (WSN)-based system for the objective biomechanical assessment and real-time feedback of yoga postures in a university setting, addressing the limitations of subjective visual correction in traditional instruction. A system integrating multiple Inertial Measurement Unit (IMU) nodes was developed, utilizing a sensor fusion algorithm to calculate accurate 3D joint angles. A controlled 8-week experiment with 40 novice students compared an experimental group (Training with sensor feedback) against a control group (traditional training). Performance in five fundamental asanas was evaluated using alignment, stability, and temporal metrics. The system achieved high measurement accuracy (RMSE < 2°). The experimental group demonstrated a significantly faster (43%) and greater improvement in postural alignment (p < 0.01) and successfully corrected critical errors like knee valgus in 90% of participants. A 30% greater enhancement in postural stability was also observed. The wireless sensing system is a technically viable and pedagogically effective tool for enhancing yoga training through quantitative assessment and personalized feedback. Integrating this technology into physical education curricula can augment instructor capabilities, enable data-driven class management, and provide students with an intuitive biofeedback tool for safer and more efficient skill acquisition.

Keywords: Biomechanics; Inertial measurement units; Physical education; Posture assessment; Real-time feedback; Wireless sensor networks; Yoga training. (search for similar items in EconPapers)
Date: 2025
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