Wei Zhuang, Su-li Xu, Yue Han, Jian Su, Chunming Gao, Dan Yang
{"title":"The design and implementation of a wearable human activity recognition system based on IMU","authors":"Wei Zhuang, Su-li Xu, Yue Han, Jian Su, Chunming Gao, Dan Yang","doi":"10.1504/ijes.2020.10029452","DOIUrl":null,"url":null,"abstract":"In recent years, with the rapid development of the inertial measurement unit (IMU) and wireless body area network, and the maturity of pattern recognition theory, the technology of human activity recognition gradually gets the attention of researchers, becoming the research hotspot in this field. On the basis of existing IMU, this paper designs a wearable human activity recognition system, which consists of microprocessor, three-axis accelerometer, three-axis gyroscope, power module and so on. The system can provide real-time, continuous human motion information (acceleration and angular velocity information) to the Android control unit, and it can realise the real-time receiving, dynamic display and storage of human motion information.","PeriodicalId":412308,"journal":{"name":"Int. J. Embed. Syst.","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Embed. Syst.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijes.2020.10029452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In recent years, with the rapid development of the inertial measurement unit (IMU) and wireless body area network, and the maturity of pattern recognition theory, the technology of human activity recognition gradually gets the attention of researchers, becoming the research hotspot in this field. On the basis of existing IMU, this paper designs a wearable human activity recognition system, which consists of microprocessor, three-axis accelerometer, three-axis gyroscope, power module and so on. The system can provide real-time, continuous human motion information (acceleration and angular velocity information) to the Android control unit, and it can realise the real-time receiving, dynamic display and storage of human motion information.