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http://dx.doi.org/10.5762/KAIS.2014.15.9.5440

Sensor-based Recognition of Human's Hand Motion for Control of a Robotic Hand  

Hwang, Myun Joong (School of Mechanical & Automotive Engineering, Halla University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.15, no.9, 2014 , pp. 5440-5445 More about this Journal
Abstract
Many studies have examined robot control using human bio signals but complicated signal processing and expensive hardware are necessary. This study proposes a method to recognize a human's hand motion using a low-cost EMG sensor and Flex sensor. The method to classify movement of the hand and finger is determined from the change in output voltage measured through MCU. The analog reference voltage is determined to be 3.3V to increase the resolution of movement identification through experiment. The robotic hand is designed to realize the identified movement. The hand has four fingers and a wrist that are controlled using pneumatic cylinders and a DC servo motor, respectively. The results show that the proposed simple method can realize human hand motion in a remote environment using the fabricated robotic hand.
Keywords
EMG(Electromyography); Robotic hand;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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