Toward natural interaction through visual recognition of body gestures in real-time
Interacting with Computers
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
A comparative study of calibration methods for Kinect-style cameras
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Real-time gesture recognition for the high-level teleoperation interface of a mobile manipulator
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
Morphological gender recognition by a social robot and privacy concerns: late breaking reports
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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An objective of natural Human-Robot Interaction (HRI) is to enable humans to communicate with robots in the same manner humans do between themselves. This includes the use of natural gestures to support and expand the information that is exchanged in the spoken language. To achieve that, robots need robust gesture recognition systems to detect the non-verbal information that is sent to them by the human gestures. Traditional gesture recognition systems highly depend on the light conditions and often require a training process before they can be used. We have integrated a low-cost commercial RGB-D (Red Green Blue - Depth) sensor in a social robot to allow it to recognise dynamic gestures by tracking a skeleton model of the subject and coding the temporal signature of the gestures in a FSM (Finite State Machine). The vision system is independent of low light conditions and does not require a training process.