Human gait recognition by micro-doppler analysis of the signal

As a biometric, also described as behaviometrics, gait is playing an increasingly important role in identification applications in security and surveillance. Compared with physiological biometrics such as fingerprints or retina, it has behavioral characteristics which can be used to label or describ...

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Main Author: Huang, Shan
Other Authors: Jiang Xudong
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/69352
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-693522023-07-07T16:20:58Z Human gait recognition by micro-doppler analysis of the signal Huang, Shan Jiang Xudong School of Electrical and Electronic Engineering DRNTU::Engineering As a biometric, also described as behaviometrics, gait is playing an increasingly important role in identification applications in security and surveillance. Compared with physiological biometrics such as fingerprints or retina, it has behavioral characteristics which can be used to label or describe an individual according to their pattern of walk, theoretically supported by Micro-Doppler effect. In this report, an automatic gait recognition system is proposed and developed to achieve gender recognition and identity recognition. Various normalization and feature extraction methods are attempted and adopted to achieve a high accuracy. The final result presents an accuracy 86.94% for identity recognition. Concerns and issues raising from the usage of the system have been discussed and further recommendations are made for better performance of the system. Bachelor of Engineering 2016-12-19T03:04:23Z 2016-12-19T03:04:23Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/69352 en Nanyang Technological University 34 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Huang, Shan
Human gait recognition by micro-doppler analysis of the signal
description As a biometric, also described as behaviometrics, gait is playing an increasingly important role in identification applications in security and surveillance. Compared with physiological biometrics such as fingerprints or retina, it has behavioral characteristics which can be used to label or describe an individual according to their pattern of walk, theoretically supported by Micro-Doppler effect. In this report, an automatic gait recognition system is proposed and developed to achieve gender recognition and identity recognition. Various normalization and feature extraction methods are attempted and adopted to achieve a high accuracy. The final result presents an accuracy 86.94% for identity recognition. Concerns and issues raising from the usage of the system have been discussed and further recommendations are made for better performance of the system.
author2 Jiang Xudong
author_facet Jiang Xudong
Huang, Shan
format Final Year Project
author Huang, Shan
author_sort Huang, Shan
title Human gait recognition by micro-doppler analysis of the signal
title_short Human gait recognition by micro-doppler analysis of the signal
title_full Human gait recognition by micro-doppler analysis of the signal
title_fullStr Human gait recognition by micro-doppler analysis of the signal
title_full_unstemmed Human gait recognition by micro-doppler analysis of the signal
title_sort human gait recognition by micro-doppler analysis of the signal
publishDate 2016
url http://hdl.handle.net/10356/69352
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