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Group activities are more than the sum of the activities of the individuals in them, but are rather generated by those activities and interactions between group members. This paper proposes Group Activity Recognition (GAR) using collaborative mobile user devices for sensing, processing and recognition. The contribution is a thorough evaluation of a method for approaching a completely novel problem. Multi-User Activity Recognition (MUAR) is an established field of research and focuses on recognizing activities performed in parallel by multiple users, including concurrent or conflicting activities.
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