| Presentation | 2017-10-20 A study on improvement of posture classifier based on OWAS method Yu Omure, Hiroyuki Izumi, Tomohiro Shibata, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The work burden of the caregiver is big issue in super aging society. Therefore, automatic analysis of the caregiver’s working posture is necessary for preventing them from the injury. We applied SVM to the depth information data of working posture and worked on automation of OWAS method widely used as an index of work posture evaluation and confirmed the possibility of automation. In this research, we improved the quality of training data using visualization of posture data group by clustering for improving the accuracy of this automatic evaluator, and evaluated the performance of classifier. As a result, we confirmed improvement of accuracy for upper limb classifiers, and clarified the necessity of surveying the method of measuring twisting for the trunk classifier. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | OWAS / Working Posture / SVM |
| Paper # | SP2017-54,WIT2017-50 |
| Date of Issue | 2017-10-12 (SP, WIT) |
| Conference Information | |
| Committee | WIT / SP |
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| Conference Date | 2017/10/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tobata Library of Kyutech (Kitakyushu) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Chikamune Wada(Kyushu Inst. of Tech.) / Yoichi Yamashita(Ritsumeikan Univ.) |
| Vice Chair | Daisuke Wakatsuki(Tsukuba Univ. of Tech.) / Hiroki Mori(Utsunomiya Univ.) |
| Secretary | Daisuke Wakatsuki(Nagoya Inst. of Tech.) / Hiroki Mori(AIST) |
| Assistant | Takeaki Shionome(*) / Manabi Miyagi(Tsukuba Univ. of Tech.) / Takashi Handa(Saitama Industrial Technology Center) / Kei Hashimoto(Nagoya Inst. of Tech.) / Satoshi Kobashikawa(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Well-being Information Technology / Technical Committee on Speech |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study on improvement of posture classifier based on OWAS method |
| Sub Title (in English) | |
| Keyword(1) | OWAS |
| Keyword(2) | Working Posture |
| Keyword(3) | SVM |
| 1st Author's Name | Yu Omure |
| 1st Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| 2nd Author's Name | Hiroyuki Izumi |
| 2nd Author's Affiliation | University of Occupational and Environmental Health,Japan(UOEH) |
| 3rd Author's Name | Tomohiro Shibata |
| 3rd Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| Date | 2017-10-20 |
| Paper # | SP2017-54,WIT2017-50 |
| Volume (vol) | vol.117 |
| Number (no) | SP-250,WIT-251 |
| Page | pp.pp.113-118(SP), pp.113-118(WIT), |
| #Pages | 6 |
| Date of Issue | 2017-10-12 (SP, WIT) |