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Human activity recognition and monitoring for elderly people

Statistics show that the population in Europe is aging and in the near future human assistance for elderly persons will be prohibitive. This paper analyses the possibilities to implement a supervision system, which is capable of monitoring a person's activity in his/her home without violating intimacy. The main idea is to collect information from various sensors placed in house and on mobile devices and infer a most probable sequence of activities performed by the supervised person. A Hidden Markov chain method is adapted for the activity chain recognition.