Automatic Sign Language Analysis: A Survey and the Future beyond Lexical Meaning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Viewpoint invariant sign language recognition
Computer Vision and Image Understanding
Combination of accumulated motion and color segmentation for human activity analysis
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Synthetic data generation technique in Signer-independent sign language recognition
Pattern Recognition Letters
A DCT-Gaussian classification scheme for human-robot interface
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A feature ranking strategy to facilitate multivariate signal classification
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Efficacy of gesture for communication among humanoid robots by fuzzy inference method
International Journal of Computational Vision and Robotics
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Gesture identification based on zone entry and axis crossing
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: interaction techniques and environments - Volume Part II
Gliding and saccadic gaze gesture recognition in real time
ACM Transactions on Interactive Intelligent Systems (TiiS)
Motion-Based interaction on the mobile device for user interface
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Human computer interaction for the accelerometer-based mobile game
EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
Human-Computer interaction system with artificial neural network using motion tracker and data glove
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
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
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Convexity local contour sequences for gesture recognition
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Mixture models with skin and shadow probabilities for fingertip input applications
Journal of Visual Communication and Image Representation
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The accurate classification of hand gestures is crucial in the development of novel hand gesture-based systems designed for human-computer interaction (HCI) and for human alternative and augmentative communication (HAAC). A complete vision-based system, consisting of hand gesture acquisition, segmentation, filtering, representation and classification, is developed to robustly classify hand gestures. The algorithms in the subsystems are formulated or selected to optimality classify hand gestures. The gray-scale image of a hand gesture is segmented using a histogram thresholding algorithm. A morphological filtering approach is designed to effectively remove background and object noise in the segmented image. The contour of a gesture is represented by a localized contour sequence whose samples are the perpendicular distances between the contour pixels and the chord connecting the end-points of a window centered on the contour pixels. Gesture similarity is determined by measuring the similarity between the localized contour sequences of the gestures. Linear alignment and nonlinear alignment are developed to measure the similarity between the localized contour sequences. Experiments and evaluations on a subset of American Sign Language (ASL) hand gestures show that, by using nonlinear alignment, no gestures are misclassified by the system. Additionally, it is also estimated that real-time gesture classification is possible through the use of a high-speed PC, high-speed digital signal processing chips and code optimization