The paper "Gait Analysis Using Wearable Sensors" by Weijun Tao, Tao Liu, Rencheng Zheng, and Hutian Feng reviews the current status and applications of gait analysis using wearable sensors. Gait analysis, which involves measuring and assessing human locomotion, has been widely applied in sports, rehabilitation, and clinical diagnostics. The authors introduce the gait phases and the principles and features of wearable sensors used in gait analysis, including accelerometers, gyroscopes, magnetoresistive sensors, flexible goniometers, electromagnetic tracking systems, sensing fabrics, force sensors, and electromyography (EMG). They then review gait analysis methods based on these sensors, focusing on kinematics, kinetics, and EMG. The paper also discusses the applications of gait analysis in sports training, rehabilitation, and clinical diagnosis, highlighting its potential to improve performance, monitor recovery, and assess health conditions. Finally, the authors conclude by emphasizing the progress and prospects of gait analysis using wearable sensors, while noting the need for further improvements in sensor stability, algorithm reliability, and the development of integrated wearable sensor systems.The paper "Gait Analysis Using Wearable Sensors" by Weijun Tao, Tao Liu, Rencheng Zheng, and Hutian Feng reviews the current status and applications of gait analysis using wearable sensors. Gait analysis, which involves measuring and assessing human locomotion, has been widely applied in sports, rehabilitation, and clinical diagnostics. The authors introduce the gait phases and the principles and features of wearable sensors used in gait analysis, including accelerometers, gyroscopes, magnetoresistive sensors, flexible goniometers, electromagnetic tracking systems, sensing fabrics, force sensors, and electromyography (EMG). They then review gait analysis methods based on these sensors, focusing on kinematics, kinetics, and EMG. The paper also discusses the applications of gait analysis in sports training, rehabilitation, and clinical diagnosis, highlighting its potential to improve performance, monitor recovery, and assess health conditions. Finally, the authors conclude by emphasizing the progress and prospects of gait analysis using wearable sensors, while noting the need for further improvements in sensor stability, algorithm reliability, and the development of integrated wearable sensor systems.