Abstract
This paper presents an implemented context recognition system that enables caregivers to query and visualize daily activities of elderly who live in their own homes. The system currently serves several homes across Europe and provides caregivers with the ability to correlate activities with specific health indicators. The system also allows to define conditions under which alarms should be raised.
Jonas Ullberg: This article has been written under GiraffPlus EU grant (Contract no. 288173).
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Notes
- 1.
An approach similar to the work of [20] on deducing context in a robot’s environment.
- 2.
A more limited timespan was chosen for the graphics used in this paper so that details are visible.
- 3.
The motion sensor was used instead of the electrical usage sensor connected to the TV since the former appeared to be in an always on state. We suspect this happens because the TV consumes enough electricity in standby mode to be considered on.
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Ullberg, J., Loutfi, A., Pecora, F. (2014). A Customizable Approach for Monitoring Activities of Elderly Users in Their Homes. In: Mazzeo, P., Spagnolo, P., Moeslund, T. (eds) Activity Monitoring by Multiple Distributed Sensing. AMMDS 2014. Lecture Notes in Computer Science(), vol 8703. Springer, Cham. https://doi.org/10.1007/978-3-319-13323-2_2
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