1. i-GRIP, a Grasping Movement Intention Estimator for Intuitive Control of Assistive Devices
- Author
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Moullet, Etienne, Carpentier, Justin, Coste, Christine Azevedo, and Bailly, François
- Subjects
Quantitative Biology - Quantitative Methods - Abstract
This study describes and evaluates i-GRIP, a novel movement intention estimator designed to facilitate the control of assistive devices for grasping tasks in individuals with upper limb impairments. Operating within a collaborative grasping control paradigm, the users naturally move their hand towards an object they wish to grasp and i-GRIP identifies the target of the movement and selects an appropriate grip for the assistive device to perform. In an experimental study involving 11 healthy participants, i-GRIP exhibited promising estimation performances and responsiveness. The proposed approach paves the way towards more intuitive control of grasping assistive device for individuals with upper limb impairments., Comment: International Conference on Humanoid Robots, IEEE-RAS, Nov 2024, Nancy, France
- Published
- 2024