A Multi-agent System for Human Activity Recognition in Smart Environments

Activity recognition is an important component for the ambient assisted living systems, which perform home monitoring and assistance of elderly people or patients with risk factors. The paper presents a prototype system for activity recognition based on a multi-agent architecture. In the system, the context of the person is first detected using a domain ontology. Next, the human position is obtained and together with the context forms a sub-activity. The sequence of successive sub-activities is then assembled in a human activity, which is recognized using a stochastic grammar.