The SenZorg project aims to improve personalized care to elderly people using Wireless Sensor Networks.
To support and facilitate the matching between health care demand and availability, Almende and Humanitas built a wireless sensor platform. This platform should increase the frequency of communication and monitoring in order to align the correct health care provider.
The most important challenge in SenZorg was to build a senor network which is generic, easily capable of being reconfigured based on human or machine feedback. Problems that were tackled included ways to fuse the data from different kinds of sensors, maintaining the relevant temporal dynamics and introduce learning and conditioning in the sensor network to create a dynamic filtering and escalation system that triggers reactions (e.g. from care providers) when necessary.
In collaboration with Humanitas, Almende identified a set of basic applications which can be developed using the sensor platform, namely presence detection (e.g. in case of emergencies), movement detection (e.g. in case someone has injured himself during a fall), last-minute planning of care providers, and automatic administration of health care provision.
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