Automatic Discovery of Basic Motion Classification Rules | Zendy

Satoshi Hori | Zendy; Mizuho Sasaki | Zendy; Hirokazu Taki | Zendy

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Automatic Discovery of Basic Motion Classification Rules

Author(s) -

Satoshi Hori,

Mizuho Sasaki,

Hirokazu Taki

Publication year - 2006

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-46537-5

DOI - 10.1007/11893004_79

Subject(s) - factory (object oriented programming) , motion (physics) , computer science , key (lock) , work (physics) , artificial intelligence , measure (data warehouse) , productivity , industrial engineering , machine learning , data mining , engineering , mechanical engineering , computer security , programming language , macroeconomics , economics

There is a keen demand for a method of sharing better work practices in a factory because better work practices are the key to improving productivity. We have developed a system that can measure a worker’s motion and automatically generate a manual that describes his movements. This system employs motion study as used in Industrial Engineering to identify the important steps in a job, and it has proven to be effective especially in the fields of factory machine operation and maintenance. However, work procedures often include unique basic motions. The determination of basic motions and the creation of an algorithm that can classify these basic motions are time consuming and complex tasks. Therefore we have employed the C4.5 algorithm to discover rules that classify the basic motions. Experimental results prove that our method can successfully discover rules for various work procedures.

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