| Presentation | 2018-05-25 Verification of primary screening techniques for foot arch abnormalities from foot pressure distribution images using machine learning method Yumi Iwakami, Rikio Onai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This study is verification of a primary screening techniques for foot arch abnormalities. Because, to solve the problem that labor and time are required for assessment of foot arch type. We performed classification of foot arch type using machine learning method. We were able to get high-recall result from experiment. This result means low overlooking rate of an abnormal foot. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Machine Learning / Random Forest / Foot Arch / Foot pressure distribution / Primary screening |
| Paper # | RCC2018-22,MICT2018-22 |
| Date of Issue | 2018-05-17 (RCC, MICT) |
| Conference Information | |
| Committee | RCC / MICT |
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| Conference Date | 2018/5/24(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Big Sight |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinsuke Hara(Osaka City Univ.) / Masaru Sugimachi(National Cerebral and Cardiovascular Center) |
| Vice Chair | Kazunori Hayashi(Osaka City Univ.) / Ryu Miura(NICT) / Shinsuke Hara(Osaka City Univ.) / Takahiro Aoyagi(Tokyo Inst. of Tech.) |
| Secretary | Kazunori Hayashi(Kagawa Univ.) / Ryu Miura(Hokkaido Univ.) / Shinsuke Hara(Niigata Univ.) / Takahiro Aoyagi(Saga Univ.) |
| Assistant | Toshinori Kagawa(NICT) / Kentaro Kobayashi(Nagoya Univ.) / Takumi Kobayashi(Yokohama National Univ.) / Shintaro Izumi(Kobe Univ.) / Tomoko Tateyama(Hiroshima Inst. of Tech.) / Ami Tanaka(Ritsumeikan Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Reliable Communication and Control / Technical Committee on Healthcare and Medical Information Communication Technology |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Verification of primary screening techniques for foot arch abnormalities from foot pressure distribution images using machine learning method |
| Sub Title (in English) | |
| Keyword(1) | Machine Learning |
| Keyword(2) | Random Forest |
| Keyword(3) | Foot Arch |
| Keyword(4) | Foot pressure distribution |
| Keyword(5) | Primary screening |
| 1st Author's Name | Yumi Iwakami |
| 1st Author's Affiliation | Tokyo Healthcare University(Tokyo Healthcare Univ.) |
| 2nd Author's Name | Rikio Onai |
| 2nd Author's Affiliation | Waseda University(Waseda Univ.) |
| Date | 2018-05-25 |
| Paper # | RCC2018-22,MICT2018-22 |
| Volume (vol) | vol.118 |
| Number (no) | RCC-53,MICT-54 |
| Page | pp.pp.105-110(RCC), pp.105-110(MICT), |
| #Pages | 6 |
| Date of Issue | 2018-05-17 (RCC, MICT) |