Jie Jiang visiting Amsterdam Computational Intelligence Group to study machine learning methods for revealing features of sensor-generated data

Dr Jie Jiang is currently working as a visiting researcher with Dr Mark Hoogendoorn at the Computational Intelligence Group in the computer science department at the Vrije Universiteit Amsterdam.

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 together will be researching machine learning methods for activity recognition, energy disaggregation and indoor localisation based on data collected from the HomeSense field trial.

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Taking stock by looking back at 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.

EGG in a living room
EGG in a living room

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.

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