Published: May 18, 2018
A Study of Walking Speed Measurement for Elderly Health Assessment Using UltraHigh-frequency Radio-Frequency Identification Tags [PDF]
Lingfei Mo, Chenyang Li, Hualin Huang, and Yaxuan Dong
(Received January 11, 2018; Accepted February 28, 2018)
Keywords: discrete generalized cross-correlation, Kalman filter, partitioned Gaussian fitting, UHF RFID, health assessment of the elderly, walking speed
The precise measurement of walking speed in daily life is essential for the health guidance and life prediction of the elderly. Ultra High Frequency (UHF) Radio Frequency Identification (RFID) tags have the advantages of compact size, low cost, no battery requirement, long reading distance, and so forth. In this paper, two reader antennas a certain distance apart are used to measure human walking speed by reading the time difference of the RFID tag. The received signal strength indicator (RSSI) of the RFID tag depends on the distances between the tag and the RFID reader. To calculate the walking speed, the time difference at RSSI maximum points and the discrete generalized cross-correlation algorithm are adopted to estimate the walking speed. The experimental results show that the precise measurement of the walking speed can be realized by employing the maximum time difference method and correlation time difference method. The former combines partitioned Gaussian fitting with Kalman filter, and the latter uses the Phat processor along with SCOT weighting. These methods could be used to measure the daily walking speed of elderly individuals in senior health centres.
Corresponding author: Lingfei Mo
Cite this article
Lingfei Mo, Chenyang Li, Hualin Huang, and Yaxuan Dong, A Study of Walking Speed Measurement for Elderly Health Assessment Using UltraHigh-frequency Radio-Frequency Identification Tags, Sens. Mater., Vol. 30, No. 5, 2018, p. 1039-1051.