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Human Identification Technique Based Behavioural Standing Still on Force Plates

Author(s)
Sirisilpa, Pattraporn
Sinchai, Sakkarin
Wardkein, Paramote
Sangpisit, Wipa
Date Issued
September 11, 2018
Type
Conference Paper
DOI
10.1109/CCOMS.2018.8463268
Abstract
This article proposes the human identification technique based behavioural standing still on force plates. Since the body sway that occurs during a quiet stand is caused by the movement of the center of mass and the center of pressure, thus the transfer of weight on the left and right feet of each person has a unique characteristic. This characteristic is then applied to identify individuals. In addition, the signals obtained from eyes open and eyes close condition are studied. The processing results are obtained by MATLAB program. The results of the proposed method show that the behavioural standing still signal in eyes open condition can be applied for human identification. However, the further study and improvement of the proposed principle is needed to acquire better in false rate of identification.
Citation
2018 3rd International Conference on Computer and Communication Systems Icccs 2018, 104-108, 2018
Subjects

body sway

component

force plate

load cell sensor

Neural network

Metrics
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