CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Whole-hand input
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Manual and cognitive benefits of two-handed input: an experimental study
ACM Transactions on Computer-Human Interaction (TOCHI)
An HMM-Based Threshold Model Approach for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A framework for recognizing the simultaneous aspects of American sign language
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Gesture Modeling and Recognition Using Finite State Machines
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Hand Gesture Recognition Using Input-Output Hidden Markov Models
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Head and Hands 3D Tracking in Real Time by the EM Algorithm
RATFG-RTS '01 Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01)
Automatic Sign Language Analysis: A Survey and the Future beyond Lexical Meaning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real time hand tracking by combining particle filtering and mean shift
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Input-output HMMs for sequence processing
IEEE Transactions on Neural Networks
Hand gesture recognition based on dynamic Bayesian network framework
Pattern Recognition
Hand gesture video browsing for broadband-enabled HDTVs
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
Hand gesture recognition based on segmented singular value decomposition
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Attention Based Detection and Recognition of Hand Postures Against Complex Backgrounds
International Journal of Computer Vision
Thai sign language translation using Scale Invariant Feature Transform and Hidden Markov Models
Pattern Recognition Letters
Hidden Markov Model on a unit hypersphere space for gesture trajectory recognition
Pattern Recognition Letters
Rule-based trajectory segmentation for modeling hand motion trajectory
Pattern Recognition
Gesture-based interaction with voice feedback for a tour-guide robot
Journal of Visual Communication and Image Representation
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In this paper, we address the problem of the recognition of isolated, complex, dynamic hand gestures. The goal of this paper is to provide an empirical comparison of two state-of-the-art techniques for temporal event modeling combined with specific features on two different databases. The models proposed are the Hidden Markov Model (HMM) and Input/Output Hidden Markov Model (IOHMM), implemented within the framework of an open source machine learning library (www.torch.ch). There are very few hand gesture databases available to the research community; consequently, most of the algorithms and features proposed for hand gesture recognition are not evaluated on common data. We thus propose to use two publicly available databases for our comparison of hand gesture recognition techniques. The first database contains both one- and two-handed gestures, and the second only two-handed gestures.