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Mapping of Human Hand Actions Using Motion Capture for Dexterous Robotic Telemanipulation
Department: Mechanical Engineering
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Paper000
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Pocatello
Unknown to Unknown
Mohammed Shaifur Rahman Chowdhury
Idaho State University
Thesis
No
7/6/2018
digital
City: Pocatello
Master
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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