Files and links (2)
CC BY V4.0, Open Access
Journal article
Analyzing the Relationship between Human Behavior and Indoor Air Quality
Journal of sensor and actuator networks, Vol.6(3), p.13
08/02/2017
Handle:
https://hdl.handle.net/2376/112003
Abstract
In the coming decades, as we experience global population growth and global aging issues, there will be corresponding concerns about the quality of the air we experience inside and outside buildings. Because we can anticipate that there will be behavioral changes that accompany population growth and aging, we examine the relationship between home occupant behavior and indoor air quality. To do this, we collect both sensor-based behavior data and chemical indoor air quality measurements in smart home environments. We introduce a novel machine learning-based approach to quantify the correlation between smart home features and chemical measurements of air quality, and evaluate the approach using two smart homes. The findings may help us understand the types of behavior that measurably impact indoor air quality. This information could help us plan for the future by developing an automated building system that would be used as part of a smart city.
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Details
- Title
- Analyzing the Relationship between Human Behavior and Indoor Air Quality
- Creators
- Beiyu LinYibo HuangfuNathan LimaBertram JobsonMax KirkPatrick O’KeeffeShelley PressleyVon WaldenBrian LambDiane Cook
- Publication Details
- Journal of sensor and actuator networks, Vol.6(3), p.13
- Academic Unit
- Voiland College of Engineering and Architecture; Civil and Environmental Engineering, Department of; Electrical Engineering and Computer Science, School of
- Publisher
- MDPI AG
- Number of pages
- 18
- Grant note
- RD-83575601 / US Department of Energy; United States Department of Energy (DOE) RD-83575601 / US Environmental Protection Agency Science To Achieve Results grants
- Identifiers
- 99900547650401842
- Language
- English
- Resource Type
- Journal article