Collaborative Context Recognition for Handheld Devices
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Detecting group activities using rigidity of formation
Proceedings of the 13th annual ACM international conference on Multimedia
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
A trajectory-based analysis of coordinated team activity in a basketball game
Computer Vision and Image Understanding
Recognition of High-level Group Activities Based on Activities of Individual Members
WMVC '08 Proceedings of the 2008 IEEE Workshop on Motion and video Computing
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In most of the domains of the context-aware system the user make up a group and their behavior could be research with group behavior recognition techniques. Our approach try to take advantage of the context information to understand the user's behaviors like a group, and this information could be useful for other system to beat to the users. For this purpose it is exposed a new representation that concentrates all necessary information concerning relations two to two present in the group, and the semantics of the different groups formed by individuals and training (or structure) of each one of them.