Biomedical data and sensing information in smart rooms

Published: 16 May 2022| Version 1 | DOI: 10.17632/ycy9zmhts5.1
Yuichi Sei


This is 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 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.


Steps to reproduce

A system was built to collect data from 10 sensing systems. Sensing systems include MW-PAL-MAG-0, MW-B-PAL-P, TWE-LITE-R, and TWE-L-DI-W (MONO WIRELESS) for open/closed sensor data, WS-USB02-PIR for human detection data, MZK-EX300NM (PLANEX COMMUNICATIONS INC.) and Power Consumption Monitor (TEPCO Energy Partner, Incorporated) for electric power data, Joy-Con (Nintendo Co., Ltd.) for activity game log data, Fitbit Aria 2 (Fitbit, Inc.) for body composition data, Fitbit Charge3 (Fitbit, Inc.) for activity level, sleep, and heart rate data, Withings Sleep (Withings) for sleep data, and Nature Remo and WS-USB01-THP for environmental data.


Denki Tsushin Daigaku


Human Behavior