Task-Specific Gesture Analysis in Real-Time Using Interpolated Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
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
Recognition of gestures in Arabic sign language using neuro-fuzzy systems
Artificial Intelligence
Modeling the constraints of human hand motion
HUMO '00 Proceedings of the Workshop on Human Motion (HUMO'00)
Modelling and recognition of the linguistic components in American Sign Language
Image and Vision Computing
2D and 3d full-body gesture database for analyzing daily human gestures
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
A brief review of vision based hand gesture recognition
CSECS'11/MECHANICS'11 Proceedings of the 10th WSEAS international conference on Circuits, Systems, Electronics, Control & Signal Processing, and Proceedings of the 7th WSEAS international conference on Applied and Theoretical Mechanics
ChAirGest: a challenge for multimodal mid-air gesture recognition for close HCI
Proceedings of the 15th ACM on International conference on multimodal interaction
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This article reports on an extensive database of American Sign Language (ASL) motions, handshapes, words and sentences. Research on automatic recognition of ASL requires a suitable database for the training and the testing of algorithms. The databases that are currently available do not allow, for algorithmic development that requires a step-by-step approach to ASL recognition -from the recognition of individual hand-shapes, to the recognition of motion primitives, and, finally, to the recognition of full sentences. We have sought to remove these deficiencies in a new database 驴 Purdue RVL-SLLL ASL database.