Visual Interpretation of Hand Gestures for Human-Computer Interaction: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Fingertip Tracking and Gesture Recognition
IEEE Computer Graphics and Applications
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Dynamic bayesian networks: representation, inference and learning
Dynamic bayesian networks: representation, inference and learning
Recognition-based gesture spotting in video games
Pattern Recognition Letters
Hidden Conditional Random Fields for Gesture Recognition
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
User-defined gestures for surface computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A variational learning algorithm for the abstract hidden Markov model
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Toward natural interaction in the real world: real-time gesture recognition
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Online Gesture Spotting from Visual Hull Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
HeatWave: thermal imaging for surface user interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
OmniTouch: wearable multitouch interaction everywhere
Proceedings of the 24th annual ACM symposium on User interface software and technology
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I propose a systematic hierarchical approach to continuous gesture analysis using a unifying framework based on abstract hidden Markov models (AHMMs). With this framework, I will develop a gesture-based interactive interface that allows users to do both manipulative and communicative gestures without artificial restrictions, and hence enabling natural interaction.