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Title
Mapping of Human Hand Actions Using Motion Capture for Dexterous Robotic Telemanipulation
Organization
Department: Mechanical Engineering
University: Idaho State University
College: Science & Engineering
Department: Mechanical Engineering 12
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City
Pocatello
Coverage
Unknown to Unknown
Creator
Mohammed Shaifur Rahman Chowdhury
Publisher
Idaho State University
Type
Thesis
Is Complete
No
Date Published
7/6/2018
Archive
digital
City: Pocatello
Degree
Master
Document Attachments
Abstracts
The objective of this thesis is the kinematic mapping of human hand motion for dexterous telemanipulation. Different tasks and grasps are considered for human hand motion. The human hand motions are captured by Vicon Motion Capture System which allows an accurate detection of the human hand motion in Cartesian space. In this study, for grasping motion, only the thumb and index finger of the right hand are used. The hand motions data of grasping are then mapped from the human hand workspace to the two-fingered planer robot hand workspace. Here Barret hand BH282 is used for the demonstration of the mapped motion though it has three fingers. The joint angle positions of Barret hand fingers are calculated using forward and inverse kinematics of the fingers via nonlinear optimization
Mapping of Human Hand Actions Using Motion Capture for Dexterous Robotic Telemanipulation
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