Introduction to algorithms
Task-Specific Gesture Analysis in Real-Time Using Interpolated Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive two-handed gesture interface in 3D virtual environments
VRST '97 Proceedings of the ACM symposium on Virtual reality software and technology
Sign language recognition using model-based tracking and a 3D Hopfield neural network
Machine Vision and Applications
Computer vision for computer games
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Hand sign recognition from intensity image sequences with complex backgrounds
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
A Theoretical Consideration of Pattern Space Trajectory for Gesture Spotting Recognition
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Towards 3D hand tracking using a deformable model
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
A Real-Time Continuous Gesture Recognition System for Sign Language
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
FORMS: a flexible object recognition and modelling system
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Think globally, fit locally: unsupervised learning of low dimensional manifolds
The Journal of Machine Learning Research
3D posture representation using meshless parameterization with cylindrical virtual boundary
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Locally linear embedding: a survey
Artificial Intelligence Review
Applications of thermal image and extension theory to biometric personal recognition
Expert Systems with Applications: An International Journal
Attention Based Detection and Recognition of Hand Postures Against Complex Backgrounds
International Journal of Computer Vision
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Even after more than two decades of input devices development, many people still find the interaction with computers an uncomfortable experience. Efforts should be made to adapt computers to our natural means of communication: speech and body language. The aim of this paper is to propose a real-time vision system within visual interaction environments through hand gesture recognition, using general-purpose hardware and low-cost sensors, like a simple computer and an USB web camera, so any user could make use of it in his office or at home. The basis of our method is a fast detection process to obtain the meaningful hand region from the whole image, which is able to deal with a large number of hand gestures against different indoor backgrounds and lighting condition, and a recognition process that identifies the hand gestures from the images of the normalized hand. The most important part of the recognition method is a feature extraction process using local linear embedding. This paper includes experimental evaluations of the recognition process of 30 hand gestures that belong to Chinese sign language (CSL) alphabet and discusses the results. Experiments show that the new approach can achieve a 90% average rate and is suitable for real-time application.