Carlos Nave, Yongsheng Yang, V. Viegas, O. Postolache
{"title":"基于智能步行者的物理康复","authors":"Carlos Nave, Yongsheng Yang, V. Viegas, O. Postolache","doi":"10.1109/ICSENST.2018.8603660","DOIUrl":null,"url":null,"abstract":"This paper describes a smart walker based on Arduino Mega computation platform and multiple sensing channels to materialize a Physical Rehabilitation Internet of Things System. The system extracts metrics such as orientation, the number of steps performed, bilateral walker elevation and the patients balance using Inertial Measurement Units, ultrasound and Load Cell sensors. Such metrics are stored in a remote server and available through a system’s web and mobile app.","PeriodicalId":181015,"journal":{"name":"2018 12th International Conference on Sensing Technology (ICST)","volume":"412 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Physical Rehabilitation based on Smart Walker\",\"authors\":\"Carlos Nave, Yongsheng Yang, V. Viegas, O. Postolache\",\"doi\":\"10.1109/ICSENST.2018.8603660\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a smart walker based on Arduino Mega computation platform and multiple sensing channels to materialize a Physical Rehabilitation Internet of Things System. The system extracts metrics such as orientation, the number of steps performed, bilateral walker elevation and the patients balance using Inertial Measurement Units, ultrasound and Load Cell sensors. Such metrics are stored in a remote server and available through a system’s web and mobile app.\",\"PeriodicalId\":181015,\"journal\":{\"name\":\"2018 12th International Conference on Sensing Technology (ICST)\",\"volume\":\"412 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 12th International Conference on Sensing Technology (ICST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSENST.2018.8603660\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 12th International Conference on Sensing Technology (ICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSENST.2018.8603660","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper describes a smart walker based on Arduino Mega computation platform and multiple sensing channels to materialize a Physical Rehabilitation Internet of Things System. The system extracts metrics such as orientation, the number of steps performed, bilateral walker elevation and the patients balance using Inertial Measurement Units, ultrasound and Load Cell sensors. Such metrics are stored in a remote server and available through a system’s web and mobile app.
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