Human Motion State Recognition Method Based on Plantar Pressure Sensing Technology

As one of the important health indicators of the body, plantar pressure distribution has great reference value in clinical medicine, sports and fitness training, and rehabilitation fields. The purpose of plantar pressure collection is to identify the movement patterns and pressure distribution information of the human lower limbs. This article focuses on introducing the design of plantar pressure detection and motion detection systems from the aspects of array plantar pressure sensors, STM32 acquisition circuits, acquisition programs, and gait segmentation recognition algorithms. During the process of human body state recognition, the collection system sequentially scans 16 plantar pressure sensors and transmits the collected data to the pressure measurement recognition software for real-time graphic display and motion recognition. Wireless communication is carried out using WiFi transmission, and repetitive action segmentation and different pose recognition are achieved using gait segmentation algorithm and SVM algorithm. And a detection system experimental platform was built to recognize 8 daily movements such as sitting, standing, and going up and down stairs, with a recognition rate of 93.65%, laying the experimental foundation for motion parameter analysis and foot rehabilitation evaluation.