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산업용 로봇 원격제어를 위한 CNN기반 손 제스처 인식 방법CNN-based Hand Gesture Recognition Method for Teleoperation Control of Industrial Robot
- Other Titles
- CNN-based Hand Gesture Recognition Method for Teleoperation Control of Industrial Robot
- Issue Date
- Feb-2021
- Publisher
- 대한임베디드공학회
- Keywords
- Industrial robot; ROS; EMG; Teleoperation; CNN
- Citation
- 대한임베디드공학회논문지, v.16, no.2, pp.65 - 72
- Journal Title
- 대한임베디드공학회논문지
- Volume
- 16
- Number
- 2
- Start Page
- 65
- End Page
- 72
- ISSN
- 1975-5066
- Abstract
- This paper introduces a teleoperation control system of an industrial robot based on hand gestures using the convolutional neural network (CNN). The proposed system employs the gesture data obtained from an EMG sensor and considers a CNN-based deep learning method. Using the proposed CNN model, we develop a real-time teleoperation control system for the industrial robot. Finally, it is confirmed that the proposed system is reliable in real system since it can be applied to the teleoperation control of a real industrial robot.
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Related Researcher
- Park, Bum Yong
- College of Engineering (School of Electronic Engineering)