Multi-modal interaction for robotics mules
Author:
Affiliation:
1. Soar Technology, Inc. (United States)
2. U.S. Army Tank Automotive Research, Development and Engineering Ctr. (United States)
Publisher
SPIE
Reference13 articles.
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3. Schick, A., et al., Vision-based handwriting recognition for unrestricted text input in mid-air, in International Conference on Multimodal Interaction. 2012, ACM.
4. Beat-based gesture recognition for non-secure, far-range, or obscured perception scenarios;Jay,2011
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