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Kinematic-Layout-aware Random Forests for Depth-based Action Recognition
In this paper, we tackle the problem of 24 hours-monitoring patient actions in a ward such as "stretching an arm out of the bed", "falling out of the bed", where temporal movements are subtle or significant.
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