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Enabling artificial systems to recognize human actions is a requisite to develop intelligent assistance systems that are able to instruct and supervise users in accomplishing tasks. In order to enable an assistance system to be wearable, head-mounted cameras allow to perceive a scene visually from a user's perspective. But realizing action recognition without any static sensors causes special challenges. The movement of the camera is directly related to the user's head motion and not controlleddoi:10.1109/icpr.2006.204 dblp:conf/icpr/HanheideHS06 fatcat:obf6nx2nxrdmtccdjwrzhq2leu