| Presentation | 2020-10-02 Future analysis of footstep waveforms and spectrogram using convolutional neural network Yoshiki Goto, Akitoshi Itai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is known that the footstep includes personal characteristics. We often recognize a person from walking footsteps in limitedsituation. If the high accuracy personal identification using footstep is possible, a novel surveillance system like a crime prevention system, or a biometric system are expected. In the conventional research, Shiota analyzed footsteps using a time frequency analysis and CNN. However, the pattern of the footstep waveform dataset was not used as the training data for the CNN. In addition, in the conventional research, the traditional CNN of AlexNet was used characteristic analysis. In this paper, we identify the CNN architecture of the highest accuracy by using the spectrogram and waveform dataset. Furthermore, we apply Grad-CAM to perform feature analysis. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Footstep / CNN / Personal identification / Feature analysis |
| Paper # | SIS2020-25 |
| Date of Issue | 2020-09-24 (SIS) |
| Conference Information | |
| Committee | SIS / ITE-BCT |
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| Conference Date | 2020/10/1(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | System Implementation Technology, Short Range Wireless Systems, Smart Multimedia Systems, Broadcasting Technology, etc. |
| Chair | Noriaki Suetake(Yamaguchi Univ.) / Kyoichi Saito(NHK) |
| Vice Chair | Tomoaki Kimura(Kanagawa Inst. of Tech.) / Naoto Sasaoka(Tottori Univ.) |
| Secretary | Tomoaki Kimura(Kindai Univ.) / Naoto Sasaoka(National Inst. of Tech., Ube College) / (NHK) |
| Assistant | Yukihiro Bandoh(NTT) / Soh Yoshida(Kansai Univ.) / Shigeki Shiokawa(Kanagawa Inst. of Tech.) / Shoichiro Sekiguchi(NHK) / Toshiharu Morizumi(NTT) / Toshimitsu Kobayashi(NBN) |
| Paper Information | |
| Registration To | Technical Committee on Smart Info-Media Systems / Technical Group on Broadcasting and Communication Technologies |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Future analysis of footstep waveforms and spectrogram using convolutional neural network |
| Sub Title (in English) | |
| Keyword(1) | Footstep |
| Keyword(2) | CNN |
| Keyword(3) | Personal identification |
| Keyword(4) | Feature analysis |
| 1st Author's Name | Yoshiki Goto |
| 1st Author's Affiliation | Chubu University(Chubu Univ.) |
| 2nd Author's Name | Akitoshi Itai |
| 2nd Author's Affiliation | Chubu University(Chubu Univ.) |
| Date | 2020-10-02 |
| Paper # | SIS2020-25 |
| Volume (vol) | vol.120 |
| Number (no) | SIS-176 |
| Page | pp.pp.75-80(SIS), |
| #Pages | 6 |
| Date of Issue | 2020-09-24 (SIS) |