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Shape Matching based Real-Coded genetic algorithm for grasping construction

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Data Glove is widely used in the area of Human Computer Interaction (HCI). Resulting from the complicated architecture of human hand and limited precision of peripheral equipment, the errors for sensor's output must be calibrated. A tempting solution to overcome this issue would be to use external sensors or construct manually to provide the ground-truth data to handle the calibration. The drawbacks of these approaches are tedious calibration procedures and lack of automation. The work described in this paper provides a method for grasping construction, which is based on Real-Coded Generic Algorithm and Shape Matching theory. This approach has the advantage that it does not require any special outer device and can be implemented automatically.

Original languageEnglish
Title of host publication2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008
Pages446-450
Number of pages5
DOIs
StatePublished - 2008
Event2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008 - Beijing, China
Duration: 10 Oct 200812 Oct 2008

Publication series

Name2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008

Conference

Conference2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing, ICSC 2008
Country/TerritoryChina
CityBeijing
Period10/10/0812/10/08

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