Dr Hoogendoorn has extensive experience of working with sensor-generated data, with particular expertise in applying machine learning in the domains of eHealth and mHealth.
Jie is working with Mark’s group until mid-June, and will be researching machine learning methods for activity recognition, energy disaggregation and indoor localisation based on data collected from the HomeSense field trial.
With the HomeSense field trial completed, now is an opportunity to share some of the lessons learned on the way to capturing good data.
The technical aspects of this methodological trial were crucial to sort out. The learning process (by doing) highlighted some of the limitations of sensor-based technology in capturing socially relevant information, but other methodological issues in designing the trial, including ethical considerations, were equally important to get right.