Task-specific gesture analysis in real-time using interpolated views
- 1 January 1996
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 18 (12) , 1236-1242
- https://doi.org/10.1109/34.546259
Abstract
Hand and face gestures are modeled using an appearance-based approach in which patterns are represented as a vector of similarity scores to a set of view models defined in space and time. These view models are learned from examples using unsupervised clustering techniques. A supervised learning paradigm is then used to interpolate view scores into a task-dependent coordinate system appropriate for recognition and control tasks. We apply this analysis to the problem of context-specific gesture interpolation and recognition, and demonstrate real-time systems which perform these tasks.Keywords
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