Vision-based interface for grasping intention detection and grip selection : towards intuitive upper-limb assistive devices

Etienne Moullet; François Bailly; Justin Carpentier; Christine Azevedo Coste

Vision-based interface for grasping intention detection and grip selection : towards intuitive upper-limb assistive devices

Quantitative Methods 2023-06-28 v1

Authors: Etienne Moullet , François Bailly , Justin Carpentier , Christine Azevedo Coste

Abstract

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 the grasping task decisions to the device, only moving their (potentially prosthetic) hand toward the targeted object.

Cite

@article{arxiv.2306.15280,
  title  = {Vision-based interface for grasping intention detection and grip selection : towards intuitive upper-limb assistive devices},
  author = {Etienne Moullet and François Bailly and Justin Carpentier and Christine Azevedo Coste},
  journal= {arXiv preprint arXiv:2306.15280},
  year   = {2023}
}

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