Published September 4, 2018 | Version v1
Conference paper Open

Activity Recognition from Wearable Cameras


A novel work for Ambient Assisted Living applications is presented here. More specifically, this paper focuses on activity recognition from recordings of daily living captured by wearable cameras. It constructs a discriminant object centric motion descriptor for representing the micro-actions within the viewpoint of the action maker so as to later define the activity that he/she performs. The accumulation of these activities build patterns over time that can be used to study the behavior of the end-users, which is very useful for health application and monitoring of patients inside their own dwellings or their behavior inside a controlled environment.



Files (1.7 MB)

Name Size Download all
1.7 MB Preview Download

Additional details


SUITCEYES – Smart, User-friendly, Interactive, Tactual, Cognition-Enhancer that Yields Extended Sensosphere - Appropriating sensor technologies, machine learning, gamification and smart haptic interfaces 780814
European Commission
V4Design – Visual and textual content re-purposing FOR(4) architecture, Design and video virtual reality games 779962
European Commission