Power-Aware Continuous Behaviour Monitoring
Problem
A main obstacle to deploy body-worn sensor-based wearable systems in free-living settings is the limited battery life. Runtime of devices such miniature accessories and garment can barely cover the time of a daily activity. A continuous long-term behavioural monitoring system requires energy to sample sensor data, to store or transmit them, but also to perform on-line processing, data abstraction and, in some application, interaction with the user.
Observation
Behavioural events are sparse in time. Activities are spaced out by “uninteresting” periods. Continuous sampling is a non-optimised solution. The dilemma is how to efficiently trading-off between quality of information, by perceiving meaningful features from the environment, and saving on-board energy.
Solution
By actively changing the duty-cycle the sensor is kept in sleep mode most of the time and active state is requested in response to some interesting activity.
Publications
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This research project is partially funded by the European Union H2020 MSCA ITN ACROSSING project (GA no. 616757).
Contact
Dr. Giovanni Schiboni
- Job title: Researcher
- Phone number: +49 9131 85-23604
- Email: giovanni.schiboni@fau.de