Sign language recognition using model-based tracking and a 3D Hopfield neural network
Machine Vision and Applications
Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parametric Hidden Markov Models for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
User-independent online gesture recognition by relative motion extraction
Pattern Recognition Letters
Extraction of 2D Motion Trajectories and Its Application to Hand Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Temporal Trajectories Using the Condensation Algorithm
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Gesture Modeling and Recognition Using Finite State Machines
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Automatic Sign Language Analysis: A Survey and the Future beyond Lexical Meaning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Hand-Raising Gestures using HMM
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Continuous Gesture Recognition using a Sparse Bayesian Classifier
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Gesture recognition with a Wii controller
Proceedings of the 2nd international conference on Tangible and embedded interaction
Social signal processing: state-of-the-art and future perspectives of an emerging domain
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Probabilistic video-based gesture recognition using self-organizing feature maps
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Real time hand gesture recognition including hand segmentation and tracking
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
A fuzzy rule-based approach to spatio-temporal hand gesturerecognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A recurrent fuzzy network for fuzzy temporal sequence processing and gesture recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Feature representations for the recognition of 3D emblematic gestures
HBU'10 Proceedings of the First international conference on Human behavior understanding
Proceedings of the 15th WSEAS international conference on Computers
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
Using self-organizing maps for intelligent camera-based user interfaces
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
SAPHE: simple accelerometer based wireless pairing with heuristic trees
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
Template based classification of multi-touch gestures
Pattern Recognition
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Present work introduces a probabilistic recognition scheme for hand gestures. Self organizing feature maps are used to model spatiotemporal information extracted through image processing. Two models are built for each gesture category and, along with appropriate distance metrics, produce a validated classification mechanism that performs consistently during experiments on acted gestures video sequences. The main focus of current work is to tackle intra and inter user variability during gesture performance by adding flexibility to the decoding procedure and allowing the algorithm to perform an optimal trajectory search while the processing speed of both the feature extraction and the recognition process indicate that the proposed architecture is appropriate for real time and large scale lexicon applications.