Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Gesture Recognition Through Modelling of Parameter Trajectories
GW '99 Proceedings of the International Gesture Workshop on Gesture-Based Communication in Human-Computer Interaction
Tracking Points on Deformable Objects Using Curvature Information
ECCV '92 Proceedings of the Second European Conference on Computer Vision
A Distance for Elastic Matching in Object Recognition
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
A Survey of Hand Posture and Gesture Recognition Techniques and Technology
A Survey of Hand Posture and Gesture Recognition Techniques and Technology
Realtime Online Adaptive Gesture Recognition
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
A Survey of Gesture RecognitionTechniques.
A Survey of Gesture RecognitionTechniques.
Curvature Maps for Local Shape Comparison
SMI '05 Proceedings of the International Conference on Shape Modeling and Applications 2005
Multimodal human computer interaction: a survey
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Real time hand tracking based on active contour model
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
The effect of sampling rate on the performance of template-based gesture recognizers
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Multiscale detection of gesture patterns in continuous motion trajectories
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
Small gestures go a long way: how many bits per gesture do recognizers actually need?
Proceedings of the Designing Interactive Systems Conference
Designing gestural interfaces for the interactive TV
Proceedings of the 11th european conference on Interactive TV and video
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We present a method for recognizing gesture motions based on elastic deformable shapes and curvature templates. Gestures are modeled using a spline curve representation that is enhanced with elastic properties: the entire spline or any of its parts may stretch or bend. The energy required to transform a gesture into a given template gives an estimation of the similarity between the two. We demonstrate the results of our gesture classifier with a video-based acquisition approach.