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Titel:

Human Activity Recognition in the Context of Industrial Human-Robot Interaction

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Roitberg, Alina; Perzylo, Alexander; Somani, Nikhil; Giuliani, Manuel; Rickert, Markus; Knoll, Alois
Abstract:
Human activity recognition is crucial for intuitive cooperation between humans and robots. We present an approach for activity recognition for applications in the context of human-robot interaction in industrial settings. The approach is based on spatial and temporal features derived from skeletal data of human workers performing assembly tasks. These features were used to train a machine learning framework, which classifies discrete time frames with Random Forests and subsequently models tempor...     »
Kongress- / Buchtitel:
Proceedings of the AsiaPacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Jahr:
2014
Monat:
Dec
Seiten:
1--10
Volltext / DOI:
doi:10.1109/APSIPA.2014.7041588
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