| Presentation | 2017-12-16 Bristol Stool Scale Classification of Falling Simulated Stool from Spatio-Temporal Image Chizuru Honda, Haruki Kawanaka, Koji Oguri, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The shape and hardness of stools reflect the health condition in the intestine. The Bristol Stool Scale is an index to classify into 7 types according to the shape and hardness of the defecation. However, it is difficult for individuals to properly evaluate the status of stools using the Bristol Stool Scale. In this study, we propose a method to classify stool properties by image processing. In this paper, we shoot falling simulated stools and generate spatio-temporal images. And we extract features from binary images of spatio-temporal images and classify them using the Support Vector Machine. As a result of the accuracy evaluation experiment using the proposed method, F-measure of 0.86 could be obtained as estimation accuracy, and the effectiveness of this method was confirmed. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Bristol Stool Scale / Classification of Stool Property / Background Subtraction Method / Spatio-temporal Image / Line Sensor |
| Paper # | MBE2017-53 |
| Date of Issue | 2017-12-09 (MBE) |
| Conference Information | |
| Committee | MBE / NC |
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| Conference Date | 2017/12/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nagoya University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ME, general |
| Chair | Kazuki Nakajima(Univ. of Toyama) / Masafumi Hagiwara(Keio Univ.) |
| Vice Chair | Masaki Kyoso(TCU) / Yutaka Hirata(Chubu Univ.) |
| Secretary | Masaki Kyoso(Toyama Pref. Univ.) / Yutaka Hirata(Kindai Univ.) |
| Assistant | Kim Juhyon(Univ. of Toyama) / Takumi Kobayashi(YNU) / Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Bristol Stool Scale Classification of Falling Simulated Stool from Spatio-Temporal Image |
| Sub Title (in English) | |
| Keyword(1) | Bristol Stool Scale |
| Keyword(2) | Classification of Stool Property |
| Keyword(3) | Background Subtraction Method |
| Keyword(4) | Spatio-temporal Image |
| Keyword(5) | Line Sensor |
| 1st Author's Name | Chizuru Honda |
| 1st Author's Affiliation | Aichi Prefectural University(Aichi Prefectural Univ.) |
| 2nd Author's Name | Haruki Kawanaka |
| 2nd Author's Affiliation | Aichi Prefectural University(Aichi Prefectural Univ.) |
| 3rd Author's Name | Koji Oguri |
| 3rd Author's Affiliation | Aichi Prefectural University(Aichi Prefectural Univ.) |
| Date | 2017-12-16 |
| Paper # | MBE2017-53 |
| Volume (vol) | vol.117 |
| Number (no) | MBE-360 |
| Page | pp.pp.1-6(MBE), |
| #Pages | 6 |
| Date of Issue | 2017-12-09 (MBE) |