DESIGN OF ROBUST ROBOTIC ARM BY LEARNING AND MIMICKING THE HUMAN HAND GESTURE

SOWMYA. J, JAYALAKSHMI. K, MAHENDHIRAN. S, NATARAJAN.R

Abstract: In the recent scenario, employing robots for handling precise tasks were seen in abundance in industrial, medical and rescue operations etc., Hand gesture controlled Robotic arm is a robotic arm which can be controlled by simple hand gestures. This work presents the development of a wireless, low cost, wearable sensor glove for the purpose of controlling a robot arm by mimicking the motion and behavior of a human’s hand. The system is comprised of a wearable glove which is embedded with Accelerometer and flex sensors to detect and track the wearers hand movements and behavior. The usability, accuracy and precision of our glove system is evaluated and the results demonstrates that our system is more accurate and easier than a conventional robotic arm joystick controller.

Keywords: Microcontroller, Accelerometer, Flex Sensor, ZIG-BEE Module, Robotic Arm.

Title: DESIGN OF ROBUST ROBOTIC ARM BY LEARNING AND MIMICKING THE HUMAN HAND GESTURE

Author: SOWMYA. J, JAYALAKSHMI. K, MAHENDHIRAN. S, NATARAJAN.R

International Journal of Electrical and Electronics Research  

ISSN 2348-6988 (online)

Research Publish Journals

 

 

 

Vol. 6, Issue 2, April 2018 – June 2018

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DESIGN OF ROBUST ROBOTIC ARM BY LEARNING AND MIMICKING THE HUMAN HAND GESTURE by SOWMYA. J, JAYALAKSHMI. K, MAHENDHIRAN. S, NATARAJAN.R