Exploiting Egocentric Cues for Action Recognition for Ambient Assisted Living Applications

Abstract

Being the elder population in constant growth, governments have to cope with higher expenses for elder care from year to year. Helping the elderly to extend their independent lifestyle is of pivotal importance to minimise those costs. That is the goal of the Ambient Assisted Living research field. Through the use of Information and Communication Technologies, it is possible to provide solutions to help the elderly live independently for as long as possible or to predict mental health issues that could seriously harm their independence. The key enablers for these solutions are the egocentric cameras and the egocentric action recognition techniques for the analysis of egocentric videos. This chapter proposes various of those techniques focused on the exploitation of intrinsic egocentric cues.