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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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
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
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)