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Intention prediction approach to interact naturally with the microworld

Abstract : Micromanipulation tools are not yet commonly used in the industry or in the research due to the lack of natural and intuitive human-computer interfaces. This work proposes a vision based approach using a Kinect RGB-Depth sensor to provide a ”metaphor-free” interface. An intention prediction approach is proposed, based on a cognitive science computational model, to allow a more natural interaction without any prior instructions. This model is compared to a vision based gesture recognition approach in terms of naturalness and intuitiveness. It shows an improvement in user performance in terms of duration and success of the task, and a qualitative preference for the proposed approach evaluated by a user survey.
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https://hal.sorbonne-universite.fr/hal-02423044
Contributor : Mohamed Chetouani <>
Submitted on : Thursday, April 29, 2021 - 4:39:02 PM
Last modification on : Wednesday, May 19, 2021 - 12:13:02 PM
Long-term archiving on: : Friday, July 30, 2021 - 7:00:58 PM

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Laura Cohen, Sinan Haliyo, Mohamed Chetouani, Stéphane Régnier. Intention prediction approach to interact naturally with the microworld. 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Jul 2014, Besacon, France. pp.396-401, ⟨10.1109/AIM.2014.6878111⟩. ⟨hal-02423044⟩

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