A. W. Setiawan, Fadel Muhammad, Vincent, Ardiyanto Hidayat
{"title":"使用陀螺仪和加速度计传感器的基于web的可穿戴步态识别系统的开发","authors":"A. W. Setiawan, Fadel Muhammad, Vincent, Ardiyanto Hidayat","doi":"10.1109/iSemantic50169.2020.9234236","DOIUrl":null,"url":null,"abstract":"In this research, a device with the capability to measure one’s walking pattern or gait will be made. Seven IMU (MPU6050-gyroscope and accelerometer) sensors will be used to satisfy the means of inertial measurement. Each sensor will be connected to an ESP32 micro-controller, which promotes wireless communication via Bluetooth or WiFi. ESP32 will be used to perform serial communication with IMU sensors in order to process data. The processed data within ESP32 will be sent via wireless communication to a local server facilitated with Raspberry Pi 3. A web-based interface will be designed within the local server to store and display data received. The data from the IMU sensors will be displayed as individual graphics. From these graphics, the four gait parameters, which are heelstrike (HS), foot-flat (FF), heel-off (HO), and toe-off (TO), will be obtained.","PeriodicalId":345558,"journal":{"name":"2020 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Development of an Web-based Wearable Gait Recognition System using Gyroscope and Accelerometer Sensors\",\"authors\":\"A. W. Setiawan, Fadel Muhammad, Vincent, Ardiyanto Hidayat\",\"doi\":\"10.1109/iSemantic50169.2020.9234236\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this research, a device with the capability to measure one’s walking pattern or gait will be made. Seven IMU (MPU6050-gyroscope and accelerometer) sensors will be used to satisfy the means of inertial measurement. Each sensor will be connected to an ESP32 micro-controller, which promotes wireless communication via Bluetooth or WiFi. ESP32 will be used to perform serial communication with IMU sensors in order to process data. The processed data within ESP32 will be sent via wireless communication to a local server facilitated with Raspberry Pi 3. A web-based interface will be designed within the local server to store and display data received. The data from the IMU sensors will be displayed as individual graphics. From these graphics, the four gait parameters, which are heelstrike (HS), foot-flat (FF), heel-off (HO), and toe-off (TO), will be obtained.\",\"PeriodicalId\":345558,\"journal\":{\"name\":\"2020 International Seminar on Application for Technology of Information and Communication (iSemantic)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Seminar on Application for Technology of Information and Communication (iSemantic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iSemantic50169.2020.9234236\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Seminar on Application for Technology of Information and Communication (iSemantic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iSemantic50169.2020.9234236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development of an Web-based Wearable Gait Recognition System using Gyroscope and Accelerometer Sensors
In this research, a device with the capability to measure one’s walking pattern or gait will be made. Seven IMU (MPU6050-gyroscope and accelerometer) sensors will be used to satisfy the means of inertial measurement. Each sensor will be connected to an ESP32 micro-controller, which promotes wireless communication via Bluetooth or WiFi. ESP32 will be used to perform serial communication with IMU sensors in order to process data. The processed data within ESP32 will be sent via wireless communication to a local server facilitated with Raspberry Pi 3. A web-based interface will be designed within the local server to store and display data received. The data from the IMU sensors will be displayed as individual graphics. From these graphics, the four gait parameters, which are heelstrike (HS), foot-flat (FF), heel-off (HO), and toe-off (TO), will be obtained.
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