Abstract

A Study of Walking Speed Measurement for Elderly Health Assessment Using UltraHigh-frequency Radio-Frequency Identification Tags

Highlights

  • A Study of Walking Speed Measurement for Elderly Health AssessmentTwo antennas at a certain distance apart are used to measure human walking speed by reading the time difference of the radio frequency identification (RFID) tag

  • The health of the elderly is a hotspot in recent scientific research

  • It can be seen that correlation time difference method using the Phat processor and smoothed coherence transform (SCOT) weighting is more accurate than the maximum time difference method which combines partitioned Gaussian fitting with Kalman filter

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Summary

A Study of Walking Speed Measurement for Elderly Health Assessment

Two antennas at a certain distance apart are used to measure human walking speed by reading the time difference of the RFID tag. 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 smoothed coherence transform (SCOT) weighting. These methods could be used to measure the daily walking speed of elderly individuals in senior health centers

Introduction
Space propagation loss model
Speed calculation model
Algorithm for RFID Speed Measurement
Partitioned Gaussian fitting
Kalman filter
Speed calculation by maximum time difference method
Discrete generalized cross-correlation
Speed calculation by correlation time difference method
Experiment design
Lagrange interpolation
Maximum time difference method
Correlation time difference method
Comparison of algorithms
Multiple experimental results and analysis
Errors of different algorithms at different walking speeds
Algorithm errors at different distance D
Findings
Conclusions
Full Text
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