Design of Intelligent Shoes Based on Multi-sensor. Issue 1 (May 2021)

• Record Type: Journal Article
• Authors: Wang, Hao; Song, Yawei
• Is Part Of: Journal of physics. Volume 1927:Issue 1(2021)
• Publication Date: 2021-05
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1927/1/012014
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: To collect and analyze movement data of human foot, an intelligent shoe system was developed to collect foot pressure, foot acceleration and angular velocity data. Intelligent shoes include pressure insole module, wireless transmission module and sports data receiving software in addition to the shoe body. The foot movement data is collected by the intelligent shoes, which is sent to the receiving software through Bluetooth, and displayed and stored. Three basic movement behaviors including sitting, standing and walking were identified through the multilayer long short-term memory (LSTM) network, and the accuracy of motion behavior recognition model based on LSTM and the validity of motion data collected by intelligent shoes were verified. The intelligent shoes can be used in the study of human motion behavior recognition.