2013
Authors
Neto, P; Moreira, AP;
Publication
Communications in Computer and Information Science
Abstract
2013
Authors
Neto, P; Pereira, D; Pires, JN; Moreira, AP;
Publication
2013 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA)
Abstract
New and more natural human-robot interfaces are of crucial interest to the evolution of robotics. This paper addresses continuous and real-time hand gesture spotting, i.e., gesture segmentation plus gesture recognition. Gesture patterns are recognized by using artificial neural networks (ANNs) specifically adapted to the process of controlling an industrial robot. Since in continuous gesture recognition the communicative gestures appear intermittently with the non-communicative, we are proposing a new architecture with two ANNs in series to recognize both kinds of gesture. A data glove is used as interface technology. Experimental results demonstrated that the proposed solution presents high recognition rates (over 99% for a library of ten gestures and over 96% for a library of thirty gestures), low training and learning time and a good capacity to generalize from particular situations.
2013
Authors
Neto, P; Pires, JN; Moreira, AP;
Publication
IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, Vienna, Austria, November 10-13, 2013
Abstract
2013
Authors
Neto, P; Pereira, D; Pires, JN; Moreira, AP;
Publication
2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, May 6-10, 2013
Abstract
2013
Authors
Neto, P; Pires, JN; Moreira, AP;
Publication
CoRR
Abstract
2013
Authors
Neto, P; Mendes, N; Araújo, R; Pires, JN; Moreira, AP;
Publication
CoRR
Abstract
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