Human Hand Movement Analysis Using Principle Component Analysis Classifier

Ching Yee Yong; Rubita Sudirman; Nasrul Humaimi Mahmood; Kim Mey Chew

doi:10.4028/www.scientific.net/AMM.284-287.3126

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Human Hand Movement Analysis Using Principle Component Analysis Classifier
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 284-287Human Hand Movement Analysis Using Principle...

Human Hand Movement Analysis Using Principle Component Analysis Classifier

Abstract:

This study investigates and acts as a trial clinical outcome for human motion and behavior analysis in order to investigate human arm movement during jogging and walking. It was developed to analyze and access the quality of human motion that can be used in hospitals, clinics and human motion researches. It aims to establish how widespread the movement and motion of arm will bring to effect of human in life. An experiment was set up in a laboratory environment with conjunction of analyzing human motion and its behavior. The instruments demonstrate adequate internal consistency of optimum scatter plot in gyroscope and accelerometer for pattern classification. PCA used in this study was successfully differentiate and classify