Towards a Sentient Environment Using a Neural Sensor Network
Freek van Polen · 2008
Ambient Intelligence is an emerging technology, and one domain where it can be applied is in intramural health care. In demented elders’ homes, ambient intelligence could be used to track and identify people, so as to control environmental features, detect hazardous situations, make work more efficient, etc. We applied the paradigm of neural networks to sensor networks to create an algorithm that can track and identify agents in an environment. The algorithm is distributed, self-organizing and uses sensors that output only binary data. We tested the algorithm for its efficiency both in a simulation and for its feasibility in a real world prototype.