A Biological and Real-Time Framework for Hand Gestures and Head Poses

Author:

Saleiro Mario,Farrajota Miguel,Terzić Kasim,Rodrigues João M. F.,du Buf J. M. Hans

Publisher

Springer Berlin Heidelberg

Reference15 articles.

1. Bandera, J.P., Marfil, R., Bandera, A., Rodríguez, J.A., Molina-Tanco, L., Sandoval, F.: Fast gesture recognition based on a two-level representation. Pattern Recogn. Lett. 30(13), 1181–1189 (2009)

2. du Buf, J.M.H.: Responses of simple cells: events, interferences, and ambiguities. Biol. Cybern. 68, 321–333 (1993)

3. Farrajota, M., Rodrigues, J.M.F., du Buf, J.M.H.: Optical flow by multi-scale annotated keypoints: a biological approach. In: Proc. Int. Conf. on Bio-inspired Systems and Signal Processing (BIOSIGNALS 2011), Rome, Italy, pp. 307–315 (2011)

4. Farrajota, M., Saleiro, M., Terzić, K., Rodrigues, J.M.F., du Buf, J.M.H.: Multi-scale cortical keypoints for realtime hand tracking and gesture recognition. In: Proc. 1st Int. Workshop on Cognitive Assistive Systems: Closing the Action-Perception Loop, pp. 9–15 (2012)

5. Hubel, D.H.: Eye, Brain and Vision. Scientific American Library (1995)

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1. Biologically Inspired Vision for Human-Robot Interaction;Universal Access in Human-Computer Interaction. Access to Interaction;2015

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