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Biomedical data, sensing information, and meal data in smart rooms
- Citation Author(s):
- Submitted by:
- Yuichi Sei
- Last updated:
- Sun, 06/23/2024 - 03:21
- DOI:
- 10.21227/sktm-z623
- Data Format:
- License:
- Categories:
- Keywords:
Abstract
This is a new dataset, including behavioral, biometric, and environmental data, obtained from 39 subjects each spending 1 week to 2 months in smart rooms in Tokyo, Japan. The approximate duration of the experiment is 3 years. This dataset includes personal data, such as the use of home appliances, heartbeat rate, sleep status, temperature, illumination, and meal data. 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 732, the number of records was 107,266,968, and the total size of the obtained data was 4.30 GB.
The collected data fall into three major categories: behavioral data, biometric data, and environmental data. Behavioral data include open/closed sensor data, human detection sensor data, electric power data, activity game log data, and meal data. Biometric data include body composition data, activity level data, sleep data, and heartrate data. Environmental data include humidity, and illuminance, for example.
Comments
im trying to study ML