Gait pattern for person recognition, an Application of Kinect
碩士 === 國立交通大學 === 生醫工程研究所 === 104 === Identity verification plays an important role in surveillance, security and access control system. Password and recognition ID card are available for use. But there are some risk like lost or stolen. Biometric techniques use human characteristics to identify. Bi...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/19428015011955579758 |
| Summary: | 碩士 === 國立交通大學 === 生醫工程研究所 === 104 === Identity verification plays an important role in surveillance, security and access control system. Password and recognition ID card are available for use. But there are some risk like lost or stolen. Biometric techniques use human characteristics to identify. Biometric techniques have its individual, so it more safety. This research use human gait pattern to identify.
Experiment use Kinect sensor to capture participant’s walking skeleton on the treadmill. And analysis in kinematics way to find recognizable features. Calculate joint angles from skeleton data, and analysis in frequency domain. For each participant, angles has the same frequency and trend between different date data. Different participant has their individual frequency. Thus we choose joint angles’ frequency domain to be the identify features.
Decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences. The structure is more simple and the classification rule is easy to understand.
Result shows our features have individuality and identifiability. And human gait has something to do with physique and walking habits. So gait pattern is difficult to be imitated. And we can say that gait recognition could be a reliable biometric technique.
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