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人类手部抓握与松开过程中的手指运动学

Finger Kinematics during Human Hand Grip and Release.

作者信息

Li Xiaodong, Wen Rongwei, Duanmu Dehao, Huang Wei, Wan Kinto, Hu Yong

机构信息

Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen 518057, China.

Orthopedics Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen 518053, China.

出版信息

Biomimetics (Basel). 2023 Jun 8;8(2):244. doi: 10.3390/biomimetics8020244.

Abstract

A bionic robotic hand can perform many movements similar to a human hand. However, there is still a significant gap in manipulation between robot and human hands. It is necessary to understand the finger kinematics and motion patterns of human hands to improve the performance of robotic hands. This study aimed to comprehensively investigate normal hand motion patterns by evaluating the kinematics of hand grip and release in healthy individuals. The data corresponding to rapid grip and release were collected from the dominant hands of 22 healthy people by sensory glove. The kinematics of 14 finger joints were analyzed, including the dynamic range of motion (ROM), peak velocity, joint sequence and finger sequence. The results show that the proximal interphalangeal (PIP) joint had a larger dynamic ROM than metacarpophalangeal (MCP) and distal interphalangeal (DIP) joints. Additionally, the PIP joint had the highest peak velocity, both in flexion and extension. For joint sequence, the PIP joint moved prior to the DIP or MCP joints during flexion, while extension started in DIP or MCP joints, followed by the PIP joint. Regarding the finger sequence, the thumb started to move before the four fingers, and stopped moving after the fingers during both grip and release. This study explored the normal motion patterns in hand grip and release, which provided a kinematic reference for the design of robotic hands and thus contributes to its development.

摘要

仿生机械手可以执行许多类似于人类手部的动作。然而,机器人手与人类手在操作方面仍存在显著差距。有必要了解人类手部的手指运动学和运动模式,以提高机械手的性能。本研究旨在通过评估健康个体手部抓握和松开的运动学来全面研究正常的手部运动模式。通过传感手套从22名健康人的优势手中收集了与快速抓握和松开相对应的数据。分析了14个手指关节的运动学,包括运动范围(ROM)、峰值速度、关节顺序和手指顺序。结果表明,近端指间关节(PIP)的动态ROM比掌指关节(MCP)和远端指间关节(DIP)更大。此外,PIP关节在屈伸时均具有最高的峰值速度。对于关节顺序,PIP关节在屈曲时比DIP或MCP关节先移动,而伸展则从DIP或MCP关节开始,随后是PIP关节。关于手指顺序,在抓握和松开过程中,拇指比其他四指先开始移动,且在其他手指停止移动后才停止。本研究探索了手部抓握和松开的正常运动模式,为机械手的设计提供了运动学参考,从而有助于其发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a20/10296280/96676f898559/biomimetics-08-00244-g001.jpg

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