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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 p
Externí odkaz:
http://arxiv.org/abs/2410.06595
Publikováno v:
International Conference on NeuroRehabilitation, Nov 2024, La granja, Spain
This study introduces i-GRIP, an innovative movement goal estimator designed to facilitate the control of assistive devices for grasping tasks in individuals with upperlimb impairments. The algorithm operates within a collaborative control paradigm,
Externí odkaz:
http://arxiv.org/abs/2409.16692
Publikováno v:
Congr{\`e}s annuel de la Soci{\'e}t{\'e} de Biom{\'e}canique, Oct 2023, Grenoble, France
Assistive devices for indivuals with upper-limb movement often lack controllability and intuitiveness, in particular for grasping function. In this work, we introduce a novel user interface for grasping movement control in which the user delegates th
Externí odkaz:
http://arxiv.org/abs/2306.15280
When human participants repeatedly encounter a velocity-dependent force field that distorts their movement trajectories, they adapt their motor behavior to recover straight trajectories. Computational models suggest that adaptation to a force field o
Externí odkaz:
http://arxiv.org/abs/2208.03653
Akademický článek
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