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Conference papers

Hand gesture recognition for driver vehicle interaction

Abstract : In this paper, we present a new driver vehicle interface based on hand gestures that uses a hierarchical model to minimize resources requirements. Depth information is provided by time of flight sensor with automotive certification. In particular, we develop our implementation of a Random Forest based posture classification in two subcases: micro gestures at the wheel and macro gestures in front of the touch screen.
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Contributor : Fabien Moutarde Connect in order to contact the contributor
Submitted on : Thursday, January 14, 2016 - 3:37:11 PM
Last modification on : Thursday, March 24, 2022 - 7:56:02 PM
Long-term archiving on: : Saturday, April 16, 2016 - 11:01:27 AM


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  • HAL Id : hal-01256263, version 1


yannick Jacob, Sotiris Manitsaris, Fabien Moutarde, Gautam Lele, Laetitia Pradere. Hand gesture recognition for driver vehicle interaction. IEEE Computer Society Workshop on Observing and understanding hands in action (Hands 2015) of 28th IEEE conf. on Computer Vision and Pattern Recognition (CVPR'2015), Jun 2015, Boston, United States. ⟨hal-01256263⟩



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