A Multi-sensor Approach for Biomimetic Control of a Robotic Prosthetic Hand
| Autor: | Carlo Menon, Lukas-Karim Merhi, Jeetinder Ghataurah, Brittany Pousett, Diego Ferigo |
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| Rok vydání: | 2017 |
| Předmět: |
Prosthetic hand
030506 rehabilitation Force level Computer science Interface (computing) 0206 medical engineering Control (management) Control engineering 02 engineering and technology 020601 biomedical engineering Signal Multi sensor 03 medical and health sciences Research community Pattern recognition (psychology) 0305 other medical science |
| Zdroj: | Bioinformatics and Biomedical Engineering ISBN: 9783319561479 IWBBIO (1) |
| DOI: | 10.1007/978-3-319-56148-6_6 |
| Popis: | Robotic prosthetic hands with five digits have become commercially available however their use is limited to a few grip patterns due to the unnatural and unreliable human-machine interface (HMI). The research community has addressed this problem extensively by investigating Pattern Recognition (PR) based surface-electromyography (sEMG) control. This control strategy has been recently commercialized however has yet to show clinical adoption. One of the reasons identified in the literature is due to the sEMG signals that are affected by sweating, electrode shift, ambient noise, fatigue, cross-talk between adjacent muscles, signal drifting, and force level variation. Hence recently the scientific community has started proposing multi-modal sensing techniques as a solution. |
| Databáze: | OpenAIRE |
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