Human activity recognition and monitoring for elderly people
Gheorghe Sebestyen, Ionuț Viorel Stoica, Anca Hângan · 2016
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.