NDLI: A Wearable Acceleration Sensor System for Gait Recognition

Content Provider	IEEE Xplore Digital Library
Author	Liu Rong Zhou Jianzhong Liu Ming Hou Xiangfeng
Copyright Year	2007
Description	Author affiliation: Huazhong Univ. of Sci. & Technol., Wuhan (Liu Rong; Zhou Jianzhong; Liu Ming; Hou Xiangfeng)
Abstract	This paper addresses the problem of human recognition based on their gait acceleration signal characteristics produced by walking. A portable microprocessor-based data collection device was designed to measure the three-dimensional gait acceleration signals during human walking. The system consists of a tri-axial accelerometer, a MCU, 32 M bytes of RAM, and a data transfer module for data transfer. The device was fixed to the user's waist and three-dimensional acceleration signals were recorded at a sampling rate of 250 Hz. After completing the recording, data stored in the RAM were transferred to a personal computer for wavelet denoising, gait cycles dividing, and gait pattern extracting. Through the analysis in time domain and frequency domain, and using dynamic time warping to deal with the problems result from naturally occurring changes in walking speed, 1-nearest neighbor is used for individual identification. Experiments were performed on 21 subjects walking on their normal speed. The methods of gait analysis in time domain and frequency domain are applying, the equal error rate of 5.6% and 21.1% are achieved respectively. Our preliminary results indicate that it is possible to recognize users based on their gait acceleration.
Starting Page	2654
Ending Page	2659
File Size	425952
Page Count	6
File Format	PDF
ISBN	9781424407361
DOI	10.1109/ICIEA.2007.4318894
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Acceleration Sensor systems Legged locomotion Humans Accelerometers Read-write memory Time domain analysis Frequency domain analysis Character recognition Signal design
Content Type	Text
Resource Type	Article

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