Huang Hua-Lin, Mo Ling-Fei, Liu Ying-Jie, Li Cheng-Yang, Xu Qi-Meng, Wu Zhi-Tong
{"title":"Preliminary exploration of the measurement of walking speed for the apoplectic people based on UHF RFID.","authors":"Huang Hua-Lin, Mo Ling-Fei, Liu Ying-Jie, Li Cheng-Yang, Xu Qi-Meng, Wu Zhi-Tong","doi":"10.1109/EMBC.2015.7320258","DOIUrl":null,"url":null,"abstract":"The number of the apoplectic people is increasing while population aging is quickening its own pace. The precise measurement of walking speed is very important to the rehabilitation guidance of the apoplectic people. The precision of traditional measuring methods on speed such as stopwatch is relatively low, and high precision measurement instruments because of the high cost cannot be used widely. What's more, these methods have difficulty in measuring the walking speed of the apoplectic people accurately. UHF RFID tag has the advantages of small volume, low price, long reading distance etc, and as a wearable sensor, it is suitable to measure walking speed accurately for the apoplectic people. In order to measure the human walking speed, this paper uses four reader antennas with a certain distance to reads the signal strength of RFID tag. Because RFID tag has different RSSI (Received Signal Strength Indicator) in different distances away from the reader, researches on the changes of RSSI with time have been done by this paper to calculate walking speed. The verification results show that the precise measurement of walking speed can be realized by signal processing method with Gaussian Fitting-Kalman Filter. Depending on the variance of walking speed, doctors can predict the rehabilitation training result of the apoplectic people and give the appropriate rehabilitation guidance.","PeriodicalId":72689,"journal":{"name":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","volume":"7 1","pages":"8038-41"},"PeriodicalIF":0.0000,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMBC.2015.7320258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The number of the apoplectic people is increasing while population aging is quickening its own pace. The precise measurement of walking speed is very important to the rehabilitation guidance of the apoplectic people. The precision of traditional measuring methods on speed such as stopwatch is relatively low, and high precision measurement instruments because of the high cost cannot be used widely. What's more, these methods have difficulty in measuring the walking speed of the apoplectic people accurately. UHF RFID tag has the advantages of small volume, low price, long reading distance etc, and as a wearable sensor, it is suitable to measure walking speed accurately for the apoplectic people. In order to measure the human walking speed, this paper uses four reader antennas with a certain distance to reads the signal strength of RFID tag. Because RFID tag has different RSSI (Received Signal Strength Indicator) in different distances away from the reader, researches on the changes of RSSI with time have been done by this paper to calculate walking speed. The verification results show that the precise measurement of walking speed can be realized by signal processing method with Gaussian Fitting-Kalman Filter. Depending on the variance of walking speed, doctors can predict the rehabilitation training result of the apoplectic people and give the appropriate rehabilitation guidance.
在人口老龄化加快的同时,中风患者的数量也在不断增加。步行速度的精确测量对中风患者的康复指导具有重要意义。传统的速度测量方法如秒表等精度较低,高精度的测量仪器由于成本高而不能广泛应用。此外,这些方法难以准确测量中风患者的步行速度。超高频RFID标签具有体积小、价格低、读取距离远等优点,作为一种可穿戴传感器,适用于中风患者准确测量步行速度。为了测量人的行走速度,本文使用四个具有一定距离的读取天线来读取RFID标签的信号强度。由于RFID标签在距离阅读器不同的距离上具有不同的RSSI (Received Signal Strength Indicator,接收信号强度指标),因此本文研究了RSSI随时间的变化来计算行走速度。验证结果表明,采用高斯拟合-卡尔曼滤波的信号处理方法可以实现步行速度的精确测量。根据步行速度的变化,医生可以预测中风患者的康复训练结果,并给予相应的康复指导。