{"title":"用于人体运动分析的可穿戴惯性传感器系统","authors":"Tao Liu, Y. Inoue, K. Shibata, Xueyan Tang","doi":"10.1109/CIRA.2005.1554311","DOIUrl":null,"url":null,"abstract":"To analyze the multi-dimension motion of human foot during walking, a wearable inertial sensor system is proposed. In this system, two gyroscopes (ENC-05EB) were used to measure angular velocities in x- and y-directions, and an accelerometer (ADXL202) was used to measure acceleration in x- and y directions respectively. Furthermore, a fuzzy inference system (FIS) was developed for the calculation of the gait phases derived from sensors' outputs. A digital filter was also designed to remove noises from of the output of the fuzzy inference system, which enhances robustness of the system. Finally, experimental study was conducted, and a wearable mechanism with the sensors system was constructed to detect gait phases of the normal human walking.","PeriodicalId":162553,"journal":{"name":"2005 International Symposium on Computational Intelligence in Robotics and Automation","volume":"300 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":"{\"title\":\"A wearable inertial sensor system for human motion analysis\",\"authors\":\"Tao Liu, Y. Inoue, K. Shibata, Xueyan Tang\",\"doi\":\"10.1109/CIRA.2005.1554311\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To analyze the multi-dimension motion of human foot during walking, a wearable inertial sensor system is proposed. In this system, two gyroscopes (ENC-05EB) were used to measure angular velocities in x- and y-directions, and an accelerometer (ADXL202) was used to measure acceleration in x- and y directions respectively. Furthermore, a fuzzy inference system (FIS) was developed for the calculation of the gait phases derived from sensors' outputs. A digital filter was also designed to remove noises from of the output of the fuzzy inference system, which enhances robustness of the system. Finally, experimental study was conducted, and a wearable mechanism with the sensors system was constructed to detect gait phases of the normal human walking.\",\"PeriodicalId\":162553,\"journal\":{\"name\":\"2005 International Symposium on Computational Intelligence in Robotics and Automation\",\"volume\":\"300 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"27\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 International Symposium on Computational Intelligence in Robotics and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIRA.2005.1554311\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 International Symposium on Computational Intelligence in Robotics and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIRA.2005.1554311","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A wearable inertial sensor system for human motion analysis
To analyze the multi-dimension motion of human foot during walking, a wearable inertial sensor system is proposed. In this system, two gyroscopes (ENC-05EB) were used to measure angular velocities in x- and y-directions, and an accelerometer (ADXL202) was used to measure acceleration in x- and y directions respectively. Furthermore, a fuzzy inference system (FIS) was developed for the calculation of the gait phases derived from sensors' outputs. A digital filter was also designed to remove noises from of the output of the fuzzy inference system, which enhances robustness of the system. Finally, experimental study was conducted, and a wearable mechanism with the sensors system was constructed to detect gait phases of the normal human walking.