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http://dx.doi.org/10.3795/KSME-A.2010.34.4.399

Comparative Study of Modeling of Hand Motion by Neural Network and Kernel Regression  

Yang, Hac-Jin (Dept. of Automotive Engineering, Hoseo Univ.)
Kim, Hyung-Tae (Dept. of Automotive Engineering, Hoseo Univ.)
Kim, Seong-Kun (Dept. of Automotive Engineering, Hoseo Univ.)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.34, no.4, 2010 , pp. 399-405 More about this Journal
Abstract
The grasping motion of a person's hand for a simplified degree of freedom was modeled by using the photographic motion measured by a high-speed camera. The mathematical expression of distal interphalangeal (DIP) motion was developed by using relation models of the metacarpophalangeal (MCP) and proximal interphalangeal (PIP) motions to reduce the degree of freedom. The mathematical expression for humanoid-hand operation obtained using a learning algorithm with a neural network and using a kernel regression model were compared. A feasible model of hand operation was obtained on the basis of comparative data analysis by using the kernel regression model.
Keywords
Hand Motion; Neural Network; Kernel Regression;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
Times Cited By SCOPUS : 0
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