DocumentCode
1270838
Title
Exploring Human Hand Capabilities Into Embedded Multifingered Object Manipulation
Author
Liu, Honghai
Author_Institution
Intell. Syst. & Biomed. Robot. Group, Univ. of Portsmouth, Portsmouth, UK
Volume
7
Issue
3
fYear
2011
Firstpage
389
Lastpage
398
Abstract
This paper provides a comprehensive computational account of hand-centered research, which is principles, methodologies and practical issues behind human hands, robot hands, rehabilitation hands, prosthetic hands and their applications. In order to help readers understand hand-centered research, this paper presents recent scientific findings and technologies including human hand analysis and synthesis, hand motion capture, recognition algorithms and applications, it serves the purpose of how to transfer human hand manipulation skills to related hand-centered applications in a computational context. The concluding discussion assesses the progress thus far and outlines some research challenges and future directions, and solution to which is essential to achieve the goals of human hand manipulation skill transfer. It is expected that the survey will also provide profound insights into an in-depth understanding of real-time hand-centered algorithms, human perception-action, and potential hand-centered healthcare solutions.
Keywords
dexterous manipulators; medical robotics; motion control; patient rehabilitation; prosthetics; embedded multifingered object manipulation; hand motion capture; hand recognition algorithm; hand-centered health care solution; hand-centered research; human hand analysis; human hand capability; human hand manipulation skill; human hand synthesis; human perception-action; prosthetic hand; rehabilitation hand; robot hand; Electromyography; Hidden Markov models; Humans; Joints; Robot kinematics; Robot sensing systems; Human hand modeling; motion capturing; motion recognition; multifingered robot manipulation and cognitive robotics;
fLanguage
English
Journal_Title
Industrial Informatics, IEEE Transactions on
Publisher
ieee
ISSN
1551-3203
Type
jour
DOI
10.1109/TII.2011.2158838
Filename
5951810
Link To Document