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Gesture based control for Mitsubishi Industrial Robots

Hand gesture recognition is a study of recognizing different hand gestures shown by a person through video or image processing. Study of gesture recognition for human robot interaction is important in developing a natural method to interact with robots. This paper proposes a gesture recognition mo...

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Main Authors: Iszahar, Irfan Fikhri, Saleh, Tanveer
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2022
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/101563/1/Gesture_based_control_for_mitsubishi_industrial_robots.pdf
http://irep.iium.edu.my/101563/7/IEC-Program-Book-2022-1.pdf
http://irep.iium.edu.my/101563/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9964159
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spelling my.iium.irep.1015632022-12-13T01:27:25Z http://irep.iium.edu.my/101563/ Gesture based control for Mitsubishi Industrial Robots Iszahar, Irfan Fikhri Saleh, Tanveer T Technology (General) Hand gesture recognition is a study of recognizing different hand gestures shown by a person through video or image processing. Study of gesture recognition for human robot interaction is important in developing a natural method to interact with robots. This paper proposes a gesture recognition model to interact with industrial robots. The gesture recognition is done through an RGB camera and a graphical user interface created in windows form. Gesture recognition using RGB camera depends on skin detection. A good skin detection system allows the program to compare the image acquired with the gestures data. The main problem in skin detection process is the influence of light illumination. In this research, methods to overcome this problem for different skin colors are researched and proposed. Combinations of YCbCr, HSV color spaces filters and background subtractor for different skin colors are implemented in this paper. Experiment from this research gave a minimum recognition rate of 95% for six different static gesture on a simple background. The significance of this research is to allow implementation of gesture recognition on industrial robots without heavy investment and heavy computation. IEEE 2022-08 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/101563/1/Gesture_based_control_for_mitsubishi_industrial_robots.pdf application/pdf en http://irep.iium.edu.my/101563/7/IEC-Program-Book-2022-1.pdf Iszahar, Irfan Fikhri and Saleh, Tanveer (2022) Gesture based control for Mitsubishi Industrial Robots. In: 8th International Conference on Mechatronics Engineering (ICOM 2022), 9-10 August 2022, IIUM, Gombak, Kuala Lumpur. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9964159 10.1049/icp.2022.2262
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Iszahar, Irfan Fikhri
Saleh, Tanveer
Gesture based control for Mitsubishi Industrial Robots
description Hand gesture recognition is a study of recognizing different hand gestures shown by a person through video or image processing. Study of gesture recognition for human robot interaction is important in developing a natural method to interact with robots. This paper proposes a gesture recognition model to interact with industrial robots. The gesture recognition is done through an RGB camera and a graphical user interface created in windows form. Gesture recognition using RGB camera depends on skin detection. A good skin detection system allows the program to compare the image acquired with the gestures data. The main problem in skin detection process is the influence of light illumination. In this research, methods to overcome this problem for different skin colors are researched and proposed. Combinations of YCbCr, HSV color spaces filters and background subtractor for different skin colors are implemented in this paper. Experiment from this research gave a minimum recognition rate of 95% for six different static gesture on a simple background. The significance of this research is to allow implementation of gesture recognition on industrial robots without heavy investment and heavy computation.
format Conference or Workshop Item
author Iszahar, Irfan Fikhri
Saleh, Tanveer
author_facet Iszahar, Irfan Fikhri
Saleh, Tanveer
author_sort Iszahar, Irfan Fikhri
title Gesture based control for Mitsubishi Industrial Robots
title_short Gesture based control for Mitsubishi Industrial Robots
title_full Gesture based control for Mitsubishi Industrial Robots
title_fullStr Gesture based control for Mitsubishi Industrial Robots
title_full_unstemmed Gesture based control for Mitsubishi Industrial Robots
title_sort gesture based control for mitsubishi industrial robots
publisher IEEE
publishDate 2022
url http://irep.iium.edu.my/101563/1/Gesture_based_control_for_mitsubishi_industrial_robots.pdf
http://irep.iium.edu.my/101563/7/IEC-Program-Book-2022-1.pdf
http://irep.iium.edu.my/101563/
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9964159
_version_ 1752146264865112064
score 13.211869

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