Published November 30, 2023 | Version v1

eSense Smart Home: A PIR-based solo-resident Smart Home dataset

  • 1. eSense Reseach Lab, Shahid Beheshti University (SBU)
  • 2. ROR icon King's College London

Description

In the evolving landscape of smart homes, there is a rising interest in making homes not just smarter but also more suitable for elderlies, in particular, to mitigate the challenges of ageing problem. This is the main motivation, which sheds light on the importance of creating and testing smart systems. In this situation, access to datasets collected from real-life activities is crucial for coming up with new and better ways to improve the systems and solutions developed for smart homes. The eSense Smart Home dataset is collected from a solo-resident smart home testbed equipped with a network of Passive Infrared (PIR) sensors. The sensors are strategically placed to monitor doorways and living areas, capturing detailed insights into occupant's movements and transitions within the house. The data collection was conducted in two rounds with two different setups for sensor placement in the testbed.  This dataset offers a valuable resource for researchers and practitioners interested in understanding user behaviour within a home environment and includes raw sensor readings from different areas of the home and a log representing the time spent in each room. More detailed information regarding data collection and event logs are presented in the document that is included within the dataset files.

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eSense_Smart_HomeDataset.pdf

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Additional details

Related works

Is source of
Journal article: 10.3390/s20247167 (DOI)
Book chapter: 10.1007/978-3-030-53993-1_13 (DOI)
Conference proceeding: 10.1007/978-981-10-4166-2_86 (DOI)

Dates

Collected
2016-06-01
Testbed 1 - 21 Days
Collected
2016-11-05
Testbed 2 - 70 Days