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| Dynamic Gesture Recognition Based on Cognitive Behavioral Model |
| Tingfang Zhang, Zhiquan Feng, Yuanyuan Su, Fanwen Min |
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Abstract Dynamic gesture recognition is an important task to human-computer
interaction research. Be different from conventional gesture
recognition, in this paper, the cognitive behavioral model was put
in the gesture recognition process. The dynamic hand gestures
recognition was in stages. Based on specific virtual scene, first of
all, according to the cognitive information got from the virtual
scene, we set up the cognitive behavioral model. Second, we use the
previously cognitive behavioral model for semantic gesture
recognition. Third, we proposed a proportion interval algorithm to
identify the dynamic hand gestures accurately in the collection of
semantic gestures. The experiment showed that our method of dynamic
gesture recognition rate reached 96.5\%.
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| DOI:10.12733/jics20104460 |
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