16 June 2015 Robotic situational awareness of actions in human teaming
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When robots can sense and interpret the activities of the people they are working with, they become more of a team member and less of just a piece of equipment. This has motivated work on recognizing human actions using existing robotic sensors like short-range ladar imagers. These produce three-dimensional point cloud movies which can be analyzed for structure and motion information. We skeletonize the human point cloud and apply a physics-based velocity correlation scheme to the resulting joint motions. The twenty actions are then recognized using a nearest-neighbors classifier that achieves good accuracy.
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Dave Tahmoush, Dave Tahmoush, "Robotic situational awareness of actions in human teaming", Proc. SPIE 9494, Next-Generation Robotics II; and Machine Intelligence and Bio-inspired Computation: Theory and Applications IX, 94940A (16 June 2015); doi: 10.1117/12.2177371; https://doi.org/10.1117/12.2177371

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