| Presentation | 2016-08-18 Effect of Feature Selection for Gait Recognition on 5 Walking States Using Android Device Yuji Watanabe, Sara San, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In our previous study, we collected gait data using an Android application when 8 subjects walked in the following 5 walking states: 1) in the pocket, 2) holding the phone to the ear, and 3) looking on the screen, 4) going upstairs, and 5) going downstairs. We extracted 43 features from the acceleration data of all the recorded gait data, and then identified subject using some machine learning algorithms. However, we have not yet carefully examined the necessity of the 43 features. In this study, using the application, we first collect gait data for 15 subjects in the 5 walking states. From the 3-axes accelerometer data, we extract 52 features adding 9 features of maximum, minimum, and energy for each axis to the 43 features, and then select the subset of the 52 features with small number and high accuracy. The result shows that the accuracies of going upstairs and downstairs are improved by the feature selection. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Gait Recognition / Android Device / Feature Selection / Behavior-based Feature / Biometrics |
| Paper # | BioX2016-12 |
| Date of Issue | 2016-08-11 (BioX) |
| Conference Information | |
| Committee | BioX |
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| Conference Date | 2016/8/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Biometrics, etc. |
| Chair | Masakatsu Nishigaki(Shizuoka Univ.) |
| Vice Chair | Akira Otsuka(AIST) / Hiroshi Takano(Toyama Pref. Univ.) |
| Secretary | Akira Otsuka(NEC) / Hiroshi Takano(AIST) |
| Assistant | Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(Secom) / Takahiro Aoki(Fujitsu Labs.) |
| Paper Information | |
| Registration To | Technical Committee on Biometrics |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Effect of Feature Selection for Gait Recognition on 5 Walking States Using Android Device |
| Sub Title (in English) | |
| Keyword(1) | Gait Recognition |
| Keyword(2) | Android Device |
| Keyword(3) | Feature Selection |
| Keyword(4) | Behavior-based Feature |
| Keyword(5) | Biometrics |
| 1st Author's Name | Yuji Watanabe |
| 1st Author's Affiliation | Nagoya City University(Nagoya City Univ.) |
| 2nd Author's Name | Sara San |
| 2nd Author's Affiliation | Nagoya City University(Nagoya City Univ.) |
| Date | 2016-08-18 |
| Paper # | BioX2016-12 |
| Volume (vol) | vol.116 |
| Number (no) | BioX-182 |
| Page | pp.pp.27-32(BioX), |
| #Pages | 6 |
| Date of Issue | 2016-08-11 (BioX) |