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Developing context sensitive HMM gesture recognition
chapter
posted on 2023-06-07, 14:02 authored by Kingsley Sage, A.J. Howell, Hilary BuxtonWe are interested in methods for building cognitive vision systems to understand activities of expert operators for our ActIPret System. Our approach to the gesture recognition required here is to learn the generic models and develop methods for contextual bias of the visual interpretation in the online system. The paper first introduces issues in the development of such flexible and robust gesture learning and recognition, with a brief discussion of related research. Second, the computational model for the Hidden Markov Model (HMM) is described and results with varying amounts of noise in the training and testing phases are given. Third, extensions of this work to allow both top-down bias in the contextual processing and bottom-up augmentation by moment to moment observation of the hand trajectory are described.
History
Publication status
- Published
Journal
Gesture WorkshopPublisher
Springer LinkVolume
2915Page range
277-287Pages
558.0Book title
Gesture-Based Communication in Human-Computer InteractionPlace of publication
New York, USAISBN
9783540210726Series
Lecture Notes in Computer ScienceDepartment affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes