This paper presents a framework allowing emblematic gestures detection, segmentation and their recognition for human-robots interaction purposes. This framework is based on a new coding of arms’ kinematics reflecting both the muscular activity of the performer and the appearance of arm seen by the recipient when a gesture is performed. Following that, gestures can be seen as sequences of torques activations leading arm’s parts to express a comprehensive meaning. In addition, these sequences have very stable topologies and shapes regardless to performers. This facilitates the generalization of the recognition process with a minimalistic learning effort for online usages. Promising results were obtained for a set of 5 classes of gestures performed by 19 different persons.
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ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis
July 2–4, 2012
Nantes, France
Conference Sponsors:
- International
ISBN:
978-0-7918-4485-4
PROCEEDINGS PAPER
Emblematic Gestures Recognition
Ryad Chellali,
Ryad Chellali
Italian Institute of Technology, Genova, Italy
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Ilaria Renna
Ilaria Renna
Université P&M Curie Paris, Paris, France
Italian Institute of Technology, Genova, Italy
Search for other works by this author on:
Ryad Chellali
Italian Institute of Technology, Genova, Italy
Ilaria Renna
Université P&M Curie Paris, Paris, France
Italian Institute of Technology, Genova, Italy
Paper No:
ESDA2012-82481, pp. 755-761; 7 pages
Published Online:
August 12, 2013
Citation
Chellali, R, & Renna, I. "Emblematic Gestures Recognition." Proceedings of the ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. Volume 2: Applied Fluid Mechanics; Electromechanical Systems and Mechatronics; Advanced Energy Systems; Thermal Engineering; Human Factors and Cognitive Engineering. Nantes, France. July 2–4, 2012. pp. 755-761. ASME. https://doi.org/10.1115/ESDA2012-82481
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