| Presentation | 2020-01-25 An Estimation Method of Heat Stress Risk for Workers using Wearable Sensor Data and Information of Lifestyle Mami Saito, Takashi Sudo, Yasuhiro Kanishima, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The heat index WBGT only using environmental information such as temperature and humidity, is used as a heat stress risk management of industrial workers. Although this information is used, there is an issue that the risk is frequently notified even though there is no subjective symptom of poor physical condition, especially in an intense summer heat environment in construction site. To solve this issue, we propose a method to estimate the risk of heat stress using the vital sign such as pulse rate, action information such as momentum, profile information, and lifestyle information on anamneses, BMI, and exercise habits. The performance of proposed method was evaluated using input data consisting of the correct answer of physical condition, profile and lifestyle information, and environmental information. The correct answer was extracted from the subjective symptoms of poor physical condition caused by heat stress. Moreover, profile and lifestyle information were extracted from the questionnaire, and the environmental information, vital sign, and the action information were extracted from sensors of a wearable device worn by workers. Then, the flexibility was evaluated by dividing the data into training and evaluation set which was collected from multiple sites on different year. As results, the false acceptance rate in the case of rejection rate equal to 0% is 92.4% when only using environmental information, 23.4% when using environmental information, vital sign, action information, and profile information, and improved to 17.7% when using the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Heat Stress / Estimation of Risk / Information of Lifestyle / Subjective Symptoms / Wearable Sensor Data / Workers |
| Paper # | HCS2019-57 |
| Date of Issue | 2020-01-18 (HCS) |
| Conference Information | |
| Committee | HCS |
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| Conference Date | 2020/1/25(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Room407, J:COM HorutoHall OITA (Oita) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Psychology and Life-stage of Communication, etc. |
| Chair | Masafumi Matsuda(NTT) |
| Vice Chair | Tomoo Inoue(Univ. of Tsukuba) / Yugo Hayashi(Ritsumeikan Univ.) |
| Secretary | Tomoo Inoue(Kanazawa Inst. of Tech.) / Yugo Hayashi(Osaka Electro-Comm. Univ.) |
| Assistant | Tomoko Kanda(Osaka Inst. of Tech.) / Kazuki Takashima(Tohoku Univ.) / Ken Fujiwara(Osaka Univ. of Economic) / Kazunori Terada(Gifu Univ.) / Atsushi Kimura(Nihon Univ.) / HUANG HUNGHSUAN(Riken) |
| Paper Information | |
| Registration To | Technical Committee on Human Communication Science |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Estimation Method of Heat Stress Risk for Workers using Wearable Sensor Data and Information of Lifestyle |
| Sub Title (in English) | |
| Keyword(1) | Heat Stress |
| Keyword(2) | Estimation of Risk |
| Keyword(3) | Information of Lifestyle |
| Keyword(4) | Subjective Symptoms |
| Keyword(5) | Wearable Sensor Data |
| Keyword(6) | Workers |
| 1st Author's Name | Mami Saito |
| 1st Author's Affiliation | Toshiba Corporation(Toshiba) |
| 2nd Author's Name | Takashi Sudo |
| 2nd Author's Affiliation | Toshiba Corporation(Toshiba) |
| 3rd Author's Name | Yasuhiro Kanishima |
| 3rd Author's Affiliation | Toshiba Corporation(Toshiba) |
| Date | 2020-01-25 |
| Paper # | HCS2019-57 |
| Volume (vol) | vol.119 |
| Number (no) | HCS-394 |
| Page | pp.pp.17-22(HCS), |
| #Pages | 6 |
| Date of Issue | 2020-01-18 (HCS) |