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2019 Neurorobotics - Investigation on the Cooperative Grasping Capabilities of Human Thumb and Index Finger.pdf (2.34 MB)

Investigation on the cooperative grasping capabilities of human thumb and index finger

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journal contribution
posted on 2020-02-17, 11:53 authored by Xiaojing Chen, Zhiguo Li, Yuqing Wang, Jizhan Liu, Dezong Zhao
The maximum cooperative grasping mass and diameter of the human thumb and index finger were investigated by 7560 grasp-release trials on various masses of solid cylinders and various sizes of rings. The maximum grasping mass of the participants’ thumbindex finger depended on gender, age and the sum of thumb-index finger lengths (P < 0.05), but not on the hand-used and ratio of index finger to thumb length (P > 0.05). The maximum grasping diameter of the participants’ thumb-index finger depended on the age, sum of thumb-index finger lengths and ratio of index finger to thumb length (P < 0.05), but not on the gender and hand-used (P > 0.05). There was a non-linear regression model for the dependence of the maximum grasping mass on gender, age and the sum of thumb-index finger lengths and another non-linear regression model for the dependence of the maximum grasping diameter on the age, sum of thumb-index finger lengths and ratio of index finger to thumb length. Two regression models were useful in the optimal size design of robotic hands intending to replicate thumb-index finger grasping ability. This research can help to define not only a reasonable grasp mass and size for a bionic robotic hand, but also the requirements for hand rehabilitation.

Funding

European Marie Curie International Incoming Fellowship (326847 and 912847)

Special Foundation for Talents of Northwest A&F University (Z111021801)

Shaanxi Project of Science and Technology Activities for Returning from Overseas (2018030)

Key Research and Development Plan of Shaanxi Province (2019NY-172)

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Frontiers in Neurorobotics

Volume

13

Publisher

Frontiers Media

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Frontiers Media under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

2019-10-22

Publication date

2019-11-05

Copyright date

2019

eISSN

1662-5218

Language

  • en

Depositor

Dr Dezong Zhao Deposit date: 15 February 2020

Article number

92

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