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J. Sens. Actuator Netw. 2017, 6(3), 13; doi:10.3390/jsan6030013

Analyzing the Relationship between Human Behavior and Indoor Air Quality

1
School of Electrical Engineering & Computer Science, Washington State University, Spokane Street, Pullman, WA 99163, USA
2
Department of Civil & Environmental Engineering, Washington State University, 2001 Grimes Way, Pullman, WA 99163, USA
3
School of Design & Construction, Washington State University, Spokane Street, Pullman, WA 99163, USA
*
Author to whom correspondence should be addressed.
Received: 7 July 2017 / Revised: 29 July 2017 / Accepted: 31 July 2017 / Published: 2 August 2017
(This article belongs to the Special Issue Smart Homes: Current Status and Future Possibilities)
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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. View Full-Text
Keywords: indoor air quality; smart home environment; machine learning; data mining indoor air quality; smart home environment; machine learning; data mining
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lin, B.; Huangfu, Y.; Lima, N.; Jobson, B.; Kirk, M.; O’Keeffe, P.; Pressley, S.N.; Walden, V.; Lamb, B.; Cook, D.J. Analyzing the Relationship between Human Behavior and Indoor Air Quality. J. Sens. Actuator Netw. 2017, 6, 13.

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