Sei Yuichi, Ohsuga Akihiko
The University of Electro-Communications, 1-5-1, Chofugaoka, Chofu, Tokyo 1828585, Japan.
JST, PRESTO, 4-1-8, Honcho, Kawaguchi, Saitama 3320012, Japan.
Data Brief. 2023 Jan 20;47:108922. doi: 10.1016/j.dib.2023.108922. eCollection 2023 Apr.
This paper presents a new dataset, including behavioral, biometric, and environmental data, obtained from 23 subjects each spending 1 week to 2 months in smart rooms in Tokyo, Japan. The approximate duration of the experiment is 2 years. This dataset includes personal data, such as the use of home appliances, heartbeat rate, sleep status, temperature, and illumination. Although there are many datasets that publish these data individually, datasets that publish them all at once, tied to individual pseudo IDs, are valuable. The number of days for which data were obtained was 488, the number of records was 18,418,359, and the total size of the obtained data was 2.76 GB. This dataset can be used for machine learning and analysis for tips on getting a good night's sleep, for example.
本文展示了一个新的数据集,其中包括行为、生物特征和环境数据,这些数据来自23名受试者,他们每人在日本东京的智能房间里待了1周至2个月。实验的大致持续时间为2年。该数据集包括个人数据,如家电使用情况、心率、睡眠状态、温度和光照。虽然有许多数据集分别发布这些数据,但将它们全部与个人伪ID关联起来一次性发布的数据集很有价值。获取数据的天数为488天,记录数为18418359条,获取的数据总大小为2.76GB。例如,该数据集可用于机器学习和分析,以获取关于获得良好睡眠的建议。