Human motion estimation from a reduced marker set
I3D '06 Proceedings of the 2006 symposium on Interactive 3D graphics and games
Estimation of missing markers in human motion capture
The Visual Computer: International Journal of Computer Graphics
Taiwan sign language (TSL) recognition based on 3D data and neural networks
Expert Systems with Applications: An International Journal
Proceedings of the 2009 ACM symposium on Applied Computing
IEEE Transactions on Signal Processing
Vision-based hand-gesture applications
Communications of the ACM
Continuous body and hand gesture recognition for natural human-computer interaction
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Affective Interaction in Natural Environments
Recognition of manual actions using vector quantization and dynamic time warping
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Real-time human pose recognition in parts from single depth images
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Real-time classification of dynamic hand gestures from marker-based position data
Proceedings of the companion publication of the 2013 international conference on Intelligent user interfaces companion
Real-time classification of dynamic hand gestures from marker-based position data
Proceedings of the companion publication of the 2013 international conference on Intelligent user interfaces companion
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In this paper we describe plans for a dynamic hand gesture recognition system based on motion capture cameras with unlabeled markers. The intended classifier is an extension of previous work on static hand gesture recognition in the same environment. The static gestures are to form the basis of a vocabulary that will allow precise descriptions of various expressive hand gestures when combined with inferred motion and temporal data. Hidden Markov Models and dynamic time warping are expected to be useful tools in achieving this goal.