AI Article Synopsis
- The paper introduces a new dataset collected from 23 subjects living in smart rooms in Tokyo over a period of 2 years, capturing behavioral, biometric, and environmental data.
- Unique features of the dataset include tracking personal data like appliance usage, heartbeat, sleep status, temperature, and illumination, all linked to individual pseudo IDs.
- With 488 days of data collection totaling 18,418,359 records and 2.76 GB in size, this dataset offers potential for machine learning applications, such as improving sleep quality.
Article Abstract
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.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898591 | PMC |
| http://dx.doi.org/10.1016/j.dib.2023.108922 | DOI Listing |
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