Activity recognition using a hierarchical framework

This paper describes an approach for modelling and detecting activities of daily life based on a hierarchy of plans that contain a range of precedence relationships, representations of concurrency and other temporal relationships. Identification of activities of daily life is achieved by episode recovery models supported by using relationships expressed in the plans. The motivation is to allow people with Alzheimerpsilas disease to have additional years of independent living before the Alzheimerpsilas disease reaches the moderate and severe stages.