DocumentCode :
3465157
Title :
Human Identification from Walking Signal Based on Measurement of Current Generated by Electrostatic Induction
Author :
Kurita, Kanae
Author_Institution :
Dept. of Electr. Eng. & Inf. Sci., Kochi Nat. Coll. of Technol., Kochi, Japan
fYear :
2011
fDate :
19-22 Sept. 2011
Firstpage :
232
Lastpage :
237
Abstract :
We have presented a novel method for human gait recognition, which is based on detecting the electrostatic induction current generated by the walking motion under non-contact conditions. The method involves the measurement of this electrostatic induction current, which flows through a measurement electrode. A model for the electrostatic induction current generated because of a change in the electric potential of the human body has been proposed. This model effectively explains the behavior of the waveform of the electrostatic induction current flowing through the electrode. Walking waveforms of 29 healthy individuals aged between 12 and 53 years were obtained. After Fourier analysis of the obtained waveform, the Pearson correlation coefficients with each other were obtained by data processing using methods such as differentiation and normalization. Results show that there is poor correlation between the walking waveforms. This suggests that the proposed technique based on the detection of subtle differences in the walking signal can be successfully applied for human identification.
Keywords :
Fourier analysis; bioelectric potentials; biomedical measurement; biometrics (access control); electrostatics; gait analysis; Fourier analysis; Pearson correlation coefficients; electric potential; electrostatic induction current; human gait recognition; human identification; measurement electrode; noncontact conditions; walking motion; walking signal; Correlation; Current measurement; Electrodes; Electrostatic induction; Electrostatic measurements; Humans; Legged locomotion; correlation coefficient; electric potential of humabody; electrostatic induction current; gait; walking motion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometrics and Kansei Engineering (ICBAKE), 2011 International Conference on
Conference_Location :
Takamatsu, Kagawa
Print_ISBN :
978-1-4577-1356-9
Electronic_ISBN :
978-0-7695-4512-7
Type :
conf
DOI :
10.1109/ICBAKE.2011.12
Filename :
6031284
Link To Document :
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