health life sciences medicine
We conducted a field study at a K-12 private school in the suburbs of Melbourne, Australia. The datasets contained two elements: (1) In-Gauge dataset: we conducted a 5-month longitudinal field study using two outdoor weather stations, as well as indoor weather stations in 17 classrooms and temperature sensors on the vents of occupant-controlled room air-conditioners; these were collated into individual datasets for each classroom at a 5-minute logging frequency, including additional data on occupant presence. (2) En-Gage dataset: we tracked 23 students and 6 teachers in a 4-week cross-sectional study En-Gage, using wearable sensors to log physiological data (electrodermal activity, heart rate, blood column pulse, skin temperature, 3-axis acceleration), as well as daily surveys to query the occupants' thermal comfort, learning engagement, emotions and seating behaviours. Overall, the combined dataset could be used to analyse the relationships between indoor/outdoor climates and students' behaviours/mental states on campus, which provide opportunities for the future design of intelligent feedback systems to benefit both students and staff.
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Open Data Commons Attribution License v1.0
https://doi.org/10.13026/srm3-7z33
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In-Gauge and En-Gage: Occupants' Behaviour, Engagement, Emotion, and Comfort Indoors with Heterogeneous Sensors and Wearables was accessed on DATE from https://registry.opendata.aws/in-gauge-and-en-gage.
arn:aws:s3:::physionet-open/in-gauge-and-en-gage/us-east-1aws s3 ls --no-sign-request s3://physionet-open/in-gauge-and-en-gage/