Abstract. Activity recognition is an important component for the ambient assisted living systems which perform home monitoring and assistance for elderly people or patients with risk factors. This paper presents a prototype system for activity recognition using information provided by four Kinects. First the posture of the supervised person is detected using a set of rules created with ID3 algorithm applied to a skeleton obtained by merging the skeletons provided by multiple Kinects. At the same time, the interaction of the user with the objects from the house is determined. After that, daily activities are identified using Hidden Markov Models in which the detected postures and the object interactions are observable states. The benefit of merging the information received from multiple Kinects together with the detection of the interaction between the user and relevant objects from the room is the increase in accuracy for the recognized activities.
For elderly people that are living alone in their homes there is a need to permanently monitor them. One of this aspect consist in knowing their indoor position and motion behavioural status, in real time. One possibility for indoor positioning of an user consists in understanding the images provided by supervising cameras. In this case the main aspect is represented by recognition of objects from these images. Thus, object recognition plays an essential part in understanding the environment and adding meaning to it. This paper presents a method for indoor localisation based on identifying the user’s context. The user’s context is computed based on object recognition and using a probabilistic ontology. The key element is represented by the probabilistic ontology that describes objects, scenes and relations between them. This ontology contains probabilistic relations that are learned using a large database. Results show that given a set of object detectors with high detection rate and low false positive rate, the system can recognize the user’s context with high accuracy.
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