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Non-stationary data distributions are a challenge in activity recognition from body worn motion sensors. Classifier models have to be adapted online to maintain a high recognition performance. Typical approaches for online learning are either unsupervised and potentially unstable, or require ground truth information which may be expensive to obtain. As an alternative we propose a teacher signal that...
This paper provides a different method for human-robot interaction and further encourages communication between human users and their robotic counterparts. The focus of our work is to develop a human-robot communication system that is not easily detectable and increases stealth when necessary. The human-robot interaction system we propose involves hand signals. Hand gestures are a common modality...
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