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Article Dans Une Revue eLife Année : 2023

Intuitive movement-based prosthesis control enables arm amputees to reach naturally in virtual reality

Résumé

Impressive progress is being made in bionic limbs design and control. Yet, controlling the numerous joints of a prosthetic arm necessary to place the hand at a correct position and orientation to grasp objects remains challenging. Here, we designed an intuitive, movement-based prosthesis control that leverages natural arm coordination to predict distal joints missing in people with transhumeral limb loss based on proximal residual limb motion and knowledge of the movement goal. This control was validated on 29 participants, including seven with above-elbow limb loss, who picked and placed bottles in a wide range of locations in virtual reality, with median success rates over 99% and movement times identical to those of natural movements. This control also enabled 15 participants, including three with limb differences, to reach and grasp real objects with a robotic arm operated according to the same principle. Remarkably, this was achieved without any prior training, indicating that this control is intuitive and instantaneously usable. It could be used for phantom limb pain management in virtual reality, or to augment the reaching capabilities of invasive neural interfaces usually more focused on hand and grasp control. eLife assessment This paper's importance lies in its integration of movement and contextual information to control a virtual arm for individuals with upper-limb differences. The provided evidence convincingly demonstrates the approach's feasibility for manipulating a single object shape in different orientations within a virtual environment. However, additional improvements are needed for this proof-ofconcept neuro-model to fulfil practical requirements.
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Dates et versions

hal-04272120 , version 1 (06-11-2023)

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Effie Segas, Sébastien Mick, Vincent Leconte, Océane Dubois, Rémi Klotz, et al.. Intuitive movement-based prosthesis control enables arm amputees to reach naturally in virtual reality. eLife, 2023, 12, ⟨10.7554/elife.87317⟩. ⟨hal-04272120⟩
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