dc.contributor.authorHuang, Shan
dc.date.accessioned2016-12-19T03:04:23Z
dc.date.available2016-12-19T03:04:23Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10356/69352
dc.description.abstractAs 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.en_US
dc.format.extent34 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineeringen_US
dc.titleHuman gait recognition by micro-doppler analysis of the signalen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorJiang Xudongen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US


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