Abstract: In coherence with the ongoing digitalization of production processes, Human Computer Interaction (HCI) technologies have evolved rapidly in industrial applications, providing abundant numbers of the versatile tracking and monitoring devices suitable to address complex challenges. This paper focuses on Activity Segmentation and Activity Identification as one of the most crucial challenges in pervasive computing, applying only visual attention features captured through mobile eye-tracking sensors. We propose a novel, application-independent appro...
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Topics: 
Artificial intelligence
Computer vision
Machine learning