| Presentation | 2020-12-15 A Study on Stress Prediction Model based on Simultaneous Measurement of Environmental and Emotional Data Koshiro Maeda, Tomoki Hashiguchi, Nobuyoshi Komuro, Keita Hirai, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Emotion estimation technology has attracted attention in terms of work style reform, classroom support, and car driving support. However, conventional techniques for emotion and stress estimation are based on facial expressions, biometric information, and language, and no emotion analysis that does not require such information has yet been proposed. Emotional estimation methods based on images and sounds are fraught with privacy concerns. Biometric-based methods are also subject to the stress problem of biometric sensor attachment. In this study, we develop a system for estimating emotions using only environmental sensors, not images or biometric sensors. In particular, we develop a wireless sensor node that measures environmental information related to human perception, and collect indoor environmental data measured by the developed wireless sensors, as well as emotional data inferred from heartbeat and skin temperature measured by the wearable device, as big data. We then use the collected big data to address the problem of classifying individual emotions. Experimental results show the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | IoT / Society5.0 / Big Data / Wireless Sensor Network / Stress and Emotion Prediction |
| Paper # | WBS2020-26,ITS2020-22,RCC2020-29 |
| Date of Issue | 2020-12-07 (WBS, ITS, RCC) |
| Conference Information | |
| Committee | ITS / WBS / RCC |
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| Conference Date | 2020/12/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ITS Communications, Reliable Communication and Control, Radar and Sensing, etc. |
| Chair | Tomotaka Wada(Kansai Univ.) / Masanori Hamamura(Kochi Univ. of Tech.) / HUAN-BANG LI(NICT) |
| Vice Chair | Yusuke Takatori(Kanagawa Inst. of Tech.) / Hiroyuki Hatano(Mie Univ.) / Takashi Shono(INTEL) / Masahiro Fujii(Utsunomiya Univ.) / Shunichi Azuma(Nagoya Univ.) / Koji Ishii(Kagawa Univ.) |
| Secretary | Yusuke Takatori(Univ. of Tokyo) / Hiroyuki Hatano(Akita Prefectural Univ.) / Takashi Shono(Okayama Univ. of Science) / Masahiro Fujii(National Defence Academy) / Shunichi Azuma(CRIEPI) / Koji Ishii(Osaka Univ.) |
| Assistant | Msataka Imao(Mitsubishi Electric) / Yanlei Gu(Ritsumeikan Univ.) / Kenshi Saho(Toyama Prefectural Univ.) / Duong Quang Thang(NAIST) / Masafumi Moriyama(NICT) / Masayuki Kinoshita(Chiba Univ. of Tech.) / SHAN LIN(NICT) / Masaki Ogura(Osaka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Intelligent Transport Systems Technology / Technical Committee on Wideband System / Technical Committee on Reliable Communication and Control |
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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 Stress Prediction Model based on Simultaneous Measurement of Environmental and Emotional Data |
| Sub Title (in English) | |
| Keyword(1) | IoT |
| Keyword(2) | Society5.0 |
| Keyword(3) | Big Data |
| Keyword(4) | Wireless Sensor Network |
| Keyword(5) | Stress and Emotion Prediction |
| 1st Author's Name | Koshiro Maeda |
| 1st Author's Affiliation | Chiba University(Chiba Univ.) |
| 2nd Author's Name | Tomoki Hashiguchi |
| 2nd Author's Affiliation | Chiba University(Chiba Univ.) |
| 3rd Author's Name | Nobuyoshi Komuro |
| 3rd Author's Affiliation | Chiba University(Chiba Univ.) |
| 4th Author's Name | Keita Hirai |
| 4th Author's Affiliation | Chiba University(Chiba Univ.) |
| Date | 2020-12-15 |
| Paper # | WBS2020-26,ITS2020-22,RCC2020-29 |
| Volume (vol) | vol.120 |
| Number (no) | WBS-290,ITS-291,RCC-292 |
| Page | pp.pp.103-108(WBS), pp.103-108(ITS), pp.103-108(RCC), |
| #Pages | 6 |
| Date of Issue | 2020-12-07 (WBS, ITS, RCC) |