the prototypical first-person vision system described by kanade and hebert, in 2012 is composed by three basic components: a localization component able to estimate the surrounding, a recognition component able to identify object and people, and an activity recognition component, able to provide information about the current activity of the user. together, these three components provide a complete situational awareness of the user, which in turn can be used to provide assistance to the itself or to the caregiver. following this idea, the first computational techniques for egocentric analysis focused on hand-related activity recognition and social interaction analysis. also, given the unconstrained nature of the video and the huge amount of data generated, temporal segmentation and summarization where among the first problem addressed. after almost ten years of egocentric vision (2007 - 2017), the field is still undergoing diversification. emerging research topics include: