Toward the Analysis of Office Workers’ Mental Indicators Based on Wearable, Work Activity, and Weather Data
Author:
Nishimura Yusuke,Hossain Tahera,Sano Akane,Isomura Shota,Arakawa Yutaka,Inoue Sozo
Publisher
Springer Nature Singapore
Reference42 articles.
1. Li, B., Sano, A.: Extraction and interpretation of deep autoencoder-based temporal features from wearables for forecasting personalized mood, health, and stress. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2) (2020) 2. Swain, V.D., Saha, K., Rajvanshy, H., Sirigiri, A., Gregg, J.M., Lin, S., Martinez, G.J., Mattingly, S.M., Mirjafari, S., Mulukutla, R., Nepal, S., Nies, K., Reddy, M.D., Robles-Granda, P., Campbell, A.T., Chawla, N.V., D’Mello, S., Dey, A.K., Jiang, K., Liu, Q., Mark, G., Moskal, E., Striegel, A., Tay, L., Abowd, G.D., De Choudhury, M.: A multisensor person-centered approach to understand the role of daily activities in job performance with organizational personas. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4) (2019) 3. Wang, W., Mirjafari, S., Harari, G., Ben-Zeev, D., Brian, R., Choudhury, T., Hauser, M., Kane, J., Masaba, K., Nepal, S., Sano, A., Scherer, E., Tseng, V., Wang, R., Wen, H., Jialing, W., Campbell, A.: Social Sensing: Assessing Social Functioning of Patients Living with Schizophrenia Using Mobile Phone Sensing, pp. 1–15. Association for Computing Machinery, New York, NY, USA (2020) 4. Yang, F., Han, T., Deng, K., Han, Y.: The application of artificial intelligence in the mental diseases. In: Proceedings of the 2020 Conference on Artificial Intelligence and Healthcare, CAIH2020, pp. 36–40. Association for Computing Machinery, New York, NY, USA (2020) 5. Labor Ministry of Health and Welfare: Overview of the 2018 Occupational Safety and Health Survey (Fact-Finding Survey). https://www.mhlw.go.jp/toukei/list/dl/h30-46-50_gaikyo.pdf
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