Szczegóły publikacji
Opis bibliograficzny
Head and voice-controlled human-machine interface system for transhumeral prosthesis / Ludwin MOLINA ARIAS, Marek IWANIEC, Paulina Pirowska, Magdalena SMOLEŃ, Piotr AUGUSTYNIAK // Electronics [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2079-9292. — 2023 — vol. 12 iss. 23 art. no. 4770, s. 1-19. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 17-19, Abstr. — Publikacja dostępna online od: 2023-11-24
Autorzy (5)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 150413 |
|---|---|
| Data dodania do BaDAP | 2024-01-08 |
| Tekst źródłowy | URL |
| DOI | 10.3390/electronics12234770 |
| Rok publikacji | 2023 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Electronics |
Abstract
The design of artificial limbs is a research topic that has, over time, attracted considerable interest from researchers in various fields of study, such as mechanics, electronics, robotics, and neuroscience. Continuous efforts are being made to build electromechanical systems functionally equivalent to the original limbs and to develop strategies to control them appropriately according to the intentions of the user. The development of Human–Machine Interfaces (HMIs) is a key point in the development of upper limb prostheses, since the actions carried out with the upper limbs lack fixed patterns, in contrast to the more predictable nature of lower limb movements. This paper presents the development of an HMI system for the control of a transhumeral prosthesis. The HMI is based on a hybrid control strategy that uses voice commands to trigger prosthesis movements and regulates the applied grip strength when the user turns his head. A prototype prosthesis was built using 3D technology and trials were conducted to test the proposed control strategy under laboratory conditions. Numerical simulations were also performed to estimate the grip strength generated. The results obtained show that the proposed prosthesis with the dedicated HMI is a promising low-cost alternative to the current solutions. The proposed hybrid control system is capable of recognizing the user’s voice with an accuracy of up to 90%, controlling the prosthesis joints and adjusting the grip strength according to the user’s wishes.