Development and Evaluation of an Adaptive Multi-DOF Finger with Mechanical-Sensor Integrated for Prosthetic Hand

To realize the adaptive grasping of objects with diverse shapes and to capture the joint angles of the finger, a multi degree of freedom (DOF) adaptive finger for prosthetic hand is proposed in this paper. The fingers are designed with three joints. The maximum rotation angle of the finger joints is...

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Main Authors: Changcheng Wu, Tianci Song, Zilong Wu, Qingqing Cao, Fei Fei, Dehua Yang, Baoguo Xu, Aiguo Song
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/12/1/33
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author Changcheng Wu
Tianci Song
Zilong Wu
Qingqing Cao
Fei Fei
Dehua Yang
Baoguo Xu
Aiguo Song
author_facet Changcheng Wu
Tianci Song
Zilong Wu
Qingqing Cao
Fei Fei
Dehua Yang
Baoguo Xu
Aiguo Song
author_sort Changcheng Wu
collection DOAJ
description To realize the adaptive grasping of objects with diverse shapes and to capture the joint angles of the finger, a multi degree of freedom (DOF) adaptive finger for prosthetic hand is proposed in this paper. The fingers are designed with three joints. The maximum rotation angle of the finger joints is 90°. The angle at which the finger joints bend can be captured. Firstly, the prototype design, forward kinematics and force analysis of phalanges are described in detail. In order to achieve an adaptive motion pattern similar to that of the human hand, this paper investigates the optimization of the torsion spring stiffness coefficient so that the metacarpophalangeal (MCP) joints, proximal interphalangeal (PIP) joints, and distal interphalangeal (DIP) joints of the bionic finger meet a motion ratio of approximately 3:3:1. Then, in order to realize the joint angle measurement in the process of grasping an object, the mechanical-sensor integrated finger joint is designed, and the composition, angle measurement principle and measurement circuit are introduced in detail. Finally, joint angle measurement, movement law evaluation and object grasping experiments are performed to verify the validity of the designed finger. The experimental results show that the root-mean-square (RMS) of the DIP, PIP and MCP angle measurement errors are 0.36°, 0.59° and 0.32°, respectively. The designed finger is able to grasp objects with different shapes stably.
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spelling doaj.art-f990642067a94bc384f4cc3de2e688722023-11-21T03:07:46ZengMDPI AGMicromachines2072-666X2020-12-011213310.3390/mi12010033Development and Evaluation of an Adaptive Multi-DOF Finger with Mechanical-Sensor Integrated for Prosthetic HandChangcheng Wu0Tianci Song1Zilong Wu2Qingqing Cao3Fei Fei4Dehua Yang5Baoguo Xu6Aiguo Song7College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaSchool of Aviation Engineering, Nanjing Vocational University of Industry Technology, Nanjing 210023, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211100, ChinaSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaTo realize the adaptive grasping of objects with diverse shapes and to capture the joint angles of the finger, a multi degree of freedom (DOF) adaptive finger for prosthetic hand is proposed in this paper. The fingers are designed with three joints. The maximum rotation angle of the finger joints is 90°. The angle at which the finger joints bend can be captured. Firstly, the prototype design, forward kinematics and force analysis of phalanges are described in detail. In order to achieve an adaptive motion pattern similar to that of the human hand, this paper investigates the optimization of the torsion spring stiffness coefficient so that the metacarpophalangeal (MCP) joints, proximal interphalangeal (PIP) joints, and distal interphalangeal (DIP) joints of the bionic finger meet a motion ratio of approximately 3:3:1. Then, in order to realize the joint angle measurement in the process of grasping an object, the mechanical-sensor integrated finger joint is designed, and the composition, angle measurement principle and measurement circuit are introduced in detail. Finally, joint angle measurement, movement law evaluation and object grasping experiments are performed to verify the validity of the designed finger. The experimental results show that the root-mean-square (RMS) of the DIP, PIP and MCP angle measurement errors are 0.36°, 0.59° and 0.32°, respectively. The designed finger is able to grasp objects with different shapes stably.https://www.mdpi.com/2072-666X/12/1/33prosthetic handadaptive graspingjoint angle measurement
spellingShingle Changcheng Wu
Tianci Song
Zilong Wu
Qingqing Cao
Fei Fei
Dehua Yang
Baoguo Xu
Aiguo Song
Development and Evaluation of an Adaptive Multi-DOF Finger with Mechanical-Sensor Integrated for Prosthetic Hand
Micromachines
prosthetic hand
adaptive grasping
joint angle measurement
title Development and Evaluation of an Adaptive Multi-DOF Finger with Mechanical-Sensor Integrated for Prosthetic Hand
title_full Development and Evaluation of an Adaptive Multi-DOF Finger with Mechanical-Sensor Integrated for Prosthetic Hand
title_fullStr Development and Evaluation of an Adaptive Multi-DOF Finger with Mechanical-Sensor Integrated for Prosthetic Hand
title_full_unstemmed Development and Evaluation of an Adaptive Multi-DOF Finger with Mechanical-Sensor Integrated for Prosthetic Hand
title_short Development and Evaluation of an Adaptive Multi-DOF Finger with Mechanical-Sensor Integrated for Prosthetic Hand
title_sort development and evaluation of an adaptive multi dof finger with mechanical sensor integrated for prosthetic hand
topic prosthetic hand
adaptive grasping
joint angle measurement
url https://www.mdpi.com/2072-666X/12/1/33
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