| Presentation | 2020-03-05 Predicting Leg Muscle Strength and Imbalance using Mocap Data for Elderly People Simon Schlegl, Xueting Wang, Toshihiko Yamasaki, Mingchuan Zhou, Alois Knoll, Yoshikuni Sato, Takahiro Hiyama, Yasuko Yoshinaka, Misaka Kimura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With progressing age certain health risks such as falling become both more likely and more life-threatening. One of the indicators to predict the risk of falling is leg muscle strength, which is traditionally measured by a trained physician. However, for continuous risk assessment, an approach that does not require any special tests is preferable. In order to pave the way for a purely video based analysis we analyzed the correlation between walking patterns that can be extracted from video material and leg muscle strength as well as imbalance, as those parameters are known to be directly connected to falls. We show that there are several parameters such as stride time or length that are correlated to leg muscle strength and thus might be suitable for risk assessment. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | muscle strength prediction / motion capture |
| Paper # | IMQ2019-45,IE2019-127,MVE2019-66 |
| Date of Issue | 2020-02-27 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | IE / IMQ / MVE / CQ |
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| Conference Date | 2020/3/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyushu Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hideaki Kimata(NTT) / Toshiya Nakaguchi(Chiba Univ.) / Kenji Mase(Nagoya Univ.) / Hideyuki Shimonishi(NEC) |
| Vice Chair | Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Mitsuru Maeda(Canon) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(NTT) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Secretary | Kazuya Kodama(NTT) / Keita Takahashi(NHK) / Mitsuru Maeda(Shizuoka Univ.) / Kenya Uomori(Sony Semiconductor Solutions) / Masayuki Ihara(Nagoya Univ.) / Jun Okamoto(NTT) / Takefumi Hiraguri(Nippon Inst. of Tech.) |
| Assistant | Kyohei Unno(KDDI Research) / Norishige Fukushima(Nagoya Inst. of Tech.) / Hiroaki Kudo(Nagoya Univ.) / Masaru Tsuchida(NTT) / Keita Hirai(Chiba Univ.) / Satoshi Nishiguchi(Oosaka Inst. of Tech.) / Masanori Yokoyama(NTT) / Shogo Fukushima(Univ. of ToKyo) / Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Takuto Kimura(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Communication Quality |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Predicting Leg Muscle Strength and Imbalance using Mocap Data for Elderly People |
| Sub Title (in English) | |
| Keyword(1) | muscle strength prediction |
| Keyword(2) | motion capture |
| 1st Author's Name | Simon Schlegl |
| 1st Author's Affiliation | The University of Tokyo(UT) |
| 2nd Author's Name | Xueting Wang |
| 2nd Author's Affiliation | The University of Tokyo(UT) |
| 3rd Author's Name | Toshihiko Yamasaki |
| 3rd Author's Affiliation | The University of Tokyo(UT) |
| 4th Author's Name | Mingchuan Zhou |
| 4th Author's Affiliation | Technical University of Munich(TUM) |
| 5th Author's Name | Alois Knoll |
| 5th Author's Affiliation | Technical University of Munich(TUM) |
| 6th Author's Name | Yoshikuni Sato |
| 6th Author's Affiliation | Panasonic Corporation(Panasonic) |
| 7th Author's Name | Takahiro Hiyama |
| 7th Author's Affiliation | Panasonic Corporation(Panasonic) |
| 8th Author's Name | Yasuko Yoshinaka |
| 8th Author's Affiliation | Kyoto University of Advanced Science(KUAS) |
| 9th Author's Name | Misaka Kimura |
| 9th Author's Affiliation | Kyoto University of Advanced Science(KUAS) |
| Date | 2020-03-05 |
| Paper # | IMQ2019-45,IE2019-127,MVE2019-66 |
| Volume (vol) | vol.119 |
| Number (no) | IMQ-454,IE-456,MVE-457 |
| Page | pp.pp.151-156(IMQ), pp.151-156(IE), pp.151-156(MVE), |
| #Pages | 6 |
| Date of Issue | 2020-02-27 (IMQ, IE, MVE) |