Human Motion Recognition by Textile Sensors Based on Machine Learning Algorithms

作     者：Chi Cuong Vu Kim, Jooyong 

作者机构：Soongsil Univ Dept Organ Mat & Fiber Engn Seoul 156743 South Korea 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2018年第18卷第9期

页      面：3109-3109页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：KIAT(Korea Institute for Advancement of Technology) - Korea Government(MOTIE : Ministry of Trade Industry and Energy) [P0002397] 

主　　题：wearables human motion monitoring SWCNT textiles machine learning algorithm 

摘      要：Wearable sensors for human physiological monitoring have attracted tremendous interest from researchers in recent years. However, most of the research involved simple trials without any significant analytical algorithms. This study provides a way of recognizing human motion by combining textile stretch sensors based on single-walled carbon nanotubes (SWCNTs) and spandex fabric (PET/SP) and machine learning algorithms in a realistic application. In the study, the performance of the system will be evaluated by identification rate and accuracy of the motion standardized. This research aims to provide a realistic motion sensing wearable product without unnecessary heavy and uncomfortable electronic devices.