Design of gait feature detection system based on STM32

Tianfei Wu; Xianjun Yang

doi:10.1117/12.2639880

19 October 2022 Design of gait feature detection system based on STM32

Tianfei Wu, Xianjun Yang

Proceedings Volume 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering; 122941R (2022) https://doi.org/10.1117/12.2639880
Event: 7th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2022), 2022, Xishuangbanna, China

Abstract

To evaluate the rehabilitation effect of elderly people during walking training on treadmills, a detection system capable of acquiring gait features was designed. Install the flexible force-sensitive sensor on the treadmill table, collect sensor data through STM32F205 microcontroller, and use W5300 Ethernet chip and STM32F205 microcontroller to build a TCP/IP network communication platform to ensure that sensor data can be synchronously transmitted to the host computer through the network port in real-time. The gait characteristics of the elderly are obtained by calculating the sensor data obtained by the host computer. System tests show that the gait characteristics obtained when walking on a treadmill are consistent with previous research results, thus verifying the accuracy of the detection system.

Citation Download Citation

Tianfei Wu and Xianjun Yang "Design of gait feature detection system based on STM32", Proc. SPIE 12294, 7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering, 122941R (19 October 2022); https://doi.org/10.1117/12.2639880

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