AAL-Oriented TOF Sensor Network for Indoor Monitoring

One distinctive feature of ambient assisted living-oriented systems is the ability to provide assistive services in smart environments as elderly people need in their daily life. Since time-of-flight vision technologies are increasingly investigated as monitoring solution able to outperform traditional approaches, in this work an application-driven monitoring framework based on a time-offlight sensor network has been investigated with the aim to provide a widerange solution suitable in several assisted living scenarios. Detector nodes are managed by a low-power embedded PC to process time-of-flight streams and extract features related with person’s activities. The feature level of detail is tuned in an application-driven manner in order to optimize both bandwidth and computational resources. Furthermore, the platform architecture is conceived as a modular system suitable to be integrated into third-party middleware to provide monitoring functionalities in several application contexts. The event detection capabilities were validated by using synthetic and real datasets collected in both controlled and real-home environments. Results shown the soundness of the presented solution to adapt at different application requirements, detecting correctly events related within four relevant AAL scenarios.