A soft, synergy-based robotic glove for grasping assistance.

Wearable robotics assistive technology exosuit

Journal

Wearable technologies
ISSN: 2631-7176
Titre abrégé: Wearable Technol
Pays: England
ID NLM: 9918230402406676

Informations de publication

Date de publication:
2021
Historique:
received: 28 08 2020
revised: 18 01 2021
accepted: 18 02 2021
medline: 20 4 2021
pubmed: 20 4 2021
entrez: 15 3 2024
Statut: epublish

Résumé

This paper presents a soft, tendon-driven, robotic glove designed to augment grasp capability and provide rehabilitation assistance for postspinal cord injury patients. The basis of the design is an underactuation approach utilizing postural synergies of the hand to support a large variety of grasps with a single actuator. The glove is lightweight, easy to don, and generates sufficient hand closing force to assist with activities of daily living. Device efficiency was examined through a characterization of the power transmission elements, and output force production was observed to be linear in both cylindrical and pinch grasp configurations. We further show that, as a result of the synergy-inspired actuation strategy, the glove only slightly alters the distribution of forces across the fingers, compared to a natural, unassisted grasping pattern. Finally, a preliminary case study was conducted using a participant suffering from an incomplete spinal cord injury (C7). It was found that through the use of the glove, the participant was able to achieve a 50% performance improvement (from four to six blocks) in a standard Box and Block test.

Identifiants

pubmed: 38486631
doi: 10.1017/wtc.2021.3
pii: S2631717621000037
pmc: PMC10936321
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e4

Informations de copyright

© The Author(s) 2021.

Déclaration de conflit d'intérêts

The authors declare no competing interests exist.

Auteurs

Ryan Alicea (R)

Assistive Robotics and Interactive ExoSuits (ARIES) Lab, Institute for Computer Engineering (ZITI), Heidelberg University, Heidelberg, Germany.

Michele Xiloyannis (M)

Sensory-Motor Systems (SMS) Lab, Institute of Robotics and Intelligent Systems (IRIS), ETH Zurich, Zurich, Switzerland.
The Spinal Cord Injury Center, University Hospital Balgrist, University of Zurich, Zurich, Switzerland.

Domenico Chiaradia (D)

Perceptual Robotics (PERCRO) Laboratory, TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy.

Michele Barsotti (M)

Perceptual Robotics (PERCRO) Laboratory, TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy.

Antonio Frisoli (A)

Perceptual Robotics (PERCRO) Laboratory, TeCIP Institute, Scuola Superiore Sant'Anna, Pisa, Italy.

Lorenzo Masia (L)

Assistive Robotics and Interactive ExoSuits (ARIES) Lab, Institute for Computer Engineering (ZITI), Heidelberg University, Heidelberg, Germany.

Classifications MeSH