Document Type
Article
Publication Date
8-2017
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.
Recommended Citation
Lin, Beiyu, Yibo Huangfu, Nathan Lima, Bertram Jobson, Max Kirk, Patrick O’Keeffe, Shelley N. Pressley, Von Walden, Brian Lamb, and Diane J. Cook. 2017. “Analyzing the Relationship between Human Behavior and Indoor Air Quality.” Journal of Sensor and Actuator Networks 6 (3): 13. https://doi.org/10.3390/jsan6030013.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
Journal of Sensor and Actuator Networks
DOI
10.3390/jsan6030013
Comments
© 2017 by the authors.