Computer Vision-Based Adaptive Semi-Autonomous Control of an Upper Limb Exoskeleton for Individuals with Tetraplegia

We propose the use of computer vision for adaptive semi-autonomous control of an upper limb exoskeleton for assisting users with severe tetraplegia to increase independence and quality of life. A tongue-based interface was used together with the semi-autonomous control such that individuals with com...

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Autores principales:	Stefan Hein Bengtson, Mikkel Berg Thøgersen, Mostafa Mohammadi, Frederik Victor Kobbelgaard, Muhammad Ahsan Gull, Lotte N. S. Andreasen Struijk, Thomas Bak, Thomas B. Moeslund
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2022-04-01
Colección:	Applied Sciences
Materias:	semi-autonomous control shared control assistive robotics computer vision intent prediction tetraplegia
Acceso en línea:	https://www.mdpi.com/2076-3417/12/9/4374
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