MIB

Scientific orientations

Behaviour monitoring must be supported by a hardware / software system composed of both smart connected sensors / devices and applications that control the devices and produce user-oriented services. MIB systems are either embedded on subjects (e.g. when an athlete wears sensors that measure its activity) or implemented by larger infrastructures (e.g. when a whole apartment is equipped to detect alarming behaviour of the elderly). From the software point of view, research on MIB systems amounts to improve best engineering practices and tools to develop, deploy and manage smart systems providing end-users with ambient assisted living capabilities, such as motivation and guidance to learn and follow healthier routines. Moreover, MIB systems will be studied as smart systems, using artificial intelligence techniques not only to provide end-users with advanced, proactive services, but also as a means to understand execution contexts and make decisions to adapt their inner architectures and behaviours. MIB system engineering will thus adopt both situated and embedded AI approaches. We will study how their architectures can be derived from multi-agents systems, architectures for robotics and autonomic computing. An interdisciplinary perspective might also be to find, in human behaviour monitoring and modelling, innovative ideas for the design and management of MIB system software architectures (e.g. aware of users’ emotional or physical states).