Abstract
Many diverse methods have been developed in the field of biometric identification as a greater emphasis is placed on human-friendliness in the area of intelligent systems. One emerging method is the use of human footprint. However, in the previous research, there were some limitations resulting from the spatial resolution of sensors. One possible method to overcome this limitation is through the use additional information such as dynamic walking information in dynamic footprint. In this study, we suggest a new person recognition scheme based on overlapped foot shape and COP (Center Of Pressure) trajectory during one-step walking. And, we show the usefulness of the suggested method, obtaining a 98.6% recognition rate in our experiment with eleven people.
Original language | English |
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Pages (from-to) | 1393-1400 |
Number of pages | 8 |
Journal | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
Volume | E87-A |
Issue number | 6 |
State | Published - Jun 2004 |
Keywords
- Biometrics
- Footprint
- Hidden Markov model
- Levenberg-Marquart learning method
- Person recognition
- Pressure sensor