The UbiLab is working with ecobee, a Canadian manufacturer of smart thermostats that uses wireless sensors (temperature, presence/movement) to adjust the temperature in the home according to usage and consequently, save energy. This study leverages data collected through ecobee’s “Donate Your Data" Program.
The data will be explored using Machine Learning and Deep learning using Azure, Apache Spark, MLlib, Cassandra, Python, and Matlab generating insights for population-level surveillance and remote patient monitoring. We are expanding ecobee's research commitments into the healthcare domain to identify the amount of physical activity, sleep patterns and sedentary behaviour, particularly in older adults, using the sensor data generated. In future applications, these sensors may be used to monitor behaviour and movement in the house to aid the detection and diagnosis of other types of mental and physical health issues once integrated with other databases.
This study has received ethics clearance through a University of Waterloo Research Ethics Committee-ORE 42132. For further information about the study, see below.
Project members:
Plinio Morita, Principal Investigator
Kirti Sundar Sahu, PhD Student
Arlene Oetomo, MSc Student
Last updated: January 19, 2021