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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2410.06595 |
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| _version_ | 1866916429002964992 |
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| author | Moullet, Etienne Carpentier, Justin Coste, Christine Azevedo Bailly, François |
| author_facet | Moullet, Etienne Carpentier, Justin Coste, Christine Azevedo Bailly, François |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_06595 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | i-GRIP, a Grasping Movement Intention Estimator for Intuitive Control of Assistive Devices Moullet, Etienne Carpentier, Justin Coste, Christine Azevedo Bailly, François Quantitative Methods 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. |
| title | i-GRIP, a Grasping Movement Intention Estimator for Intuitive Control of Assistive Devices |
| topic | Quantitative Methods |
| url | https://arxiv.org/abs/2410.06595 |