Investigation of the Relationship Between Indoor Air Quality and Physical Activity

Christopher Lawson, Paul McCullagh, Federico Cruciani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The relationship between indoor air quality and physical activity was investigated. An air quality sensing device (BME680) was used to measure temperature, humidity, carbon dioxide and volatile organic compounds in a classroom environment. Physical Activity of a person in the classroom was recorded concurrently using an accelerometer (ADXL335); data from devices were integrated through a Bluetooth low energy protocol. Heterogeneous sensor data were stored on a cloud database, which facilitated further analysis and visualization. Recording was undertaken in a computer laboratory with forty-five students. Statistical tests showed a positive correlation between carbon dioxide and air quality. However, there was no significant correlation between air quality and physical activity. Further recording was undertaken in a more controlled environment, a smaller room in which a high intensity training session was undertaken. This showed a positive correlation between physical activity and temperature and a negative correlation between humidity and physical activity. The Internet of things (IoT) can provide an ambient solution to assist with environmental monitoring and body worn activity trackers have achieved general user acceptance, but in real world applications technical issues persist with sensor calibration, reliability, device connectivity and data integration. Thus, the Internet of Everything, i.e., sensing, processing, and using environmental information provides significant recording and integration challenges.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022)
EditorsJosé Bravo, Sergio Ochoa, Jesús Favela
PublisherSpringer Nature Switzerland AG
Pages547-558
Number of pages12
ISBN (Print)9783031213328
DOIs
Publication statusPublished (in print/issue) - 2023

Publication series

NameLecture Notes in Networks and Systems
Volume594

Bibliographical note

Funding Information:
Funding. This project was supported by Invest Northern Ireland under Competence Centre Programs Grant RD0513853 - CHIC (Connected Health Innovation Centre).

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Air quality
  • Physical activity
  • Real-world deployment
  • Sensor design
  • Integration
  • Calibration
  • Reliability

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