| Presentation | 2011-07-29 Human Gait Recognition using 2 Frequency CW Radar Kouki FUKAMACHI, Takayuki INABA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In earlier study, recognition of human walking using a radar have been investigated. Conventionally, there are available features to separate human and other objects, which are (1)Mean Velocity, (2)Step Frequency and (3)Appendage Ratio. This paper presents a new feature that is (4)Normalized Power. Normalized Power uses estimated distance available from 2 Frequency CW Radar. In purpose of evaluating effectiveness of new feature, their features are extracted from measured data which is obtained by human, bicycle and dog. After that, our approach is to apply Fisher's linear discnminant and Support Vector Machine to extracted features. It has been showed that presented feature is available. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Radar / 2 frequency CW radar / feature extraction / Support Vector Machine |
| Paper # | SANE2011-51 |
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| Conference Information | |
| Committee | SANE |
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| Conference Date | 2011/7/22(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Space, Aeronautical and Navigational Electronics (SANE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Human Gait Recognition using 2 Frequency CW Radar |
| Sub Title (in English) | |
| Keyword(1) | Radar |
| Keyword(2) | 2 frequency CW radar |
| Keyword(3) | feature extraction |
| Keyword(4) | Support Vector Machine |
| 1st Author's Name | Kouki FUKAMACHI |
| 1st Author's Affiliation | Graduate School of Electro-Communications, The University of Electro-Communications() |
| 2nd Author's Name | Takayuki INABA |
| 2nd Author's Affiliation | Graduate School of Electro-Communications, The University of Electro-Communications |
| Date | 2011-07-29 |
| Paper # | SANE2011-51 |
| Volume (vol) | vol.111 |
| Number (no) | 166 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |