Paper Info
Title
Flat Finishing Skill Training Software System Based on Personal Peculiarity Classification.
Abstract
The paper proposes a new education software system for flat finishing skill with an iron file based on classification of personal peculiarities. The software measures leaner's flat finishing motion by using a 3D stylus, and displays classified personal peculiarities effectively to correct learner's finishing motions. A torus type Self-Organizing Maps is used to classify such unknown number of classes of peculiarity patterns. Early developing results of the peculiarity computation classification parts with measured data of an expert and sixteen learners show effectiveness of the proposed system.
Year
DOI
Venue
2017
10.3233/978-1-61499-800-6-65
Frontiers in Artificial Intelligence and Applications
Keywords
Field
DocType
Motion classification,Self Organizing Maps,3D stylus,skill training
Engineering drawing,Computer science,Software system
Conference
Volume
ISSN
Citations 
297
0922-6389
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Masaru Teranishi1179.91
Shinpei Matsumoto200.34
Hidetoshi Takeno385.99