Development of Real-Time Hand Gesture for Volume Control Application using Python on Raspberry Pi-Reference-Cited by-同舟云学术

Development of Real-Time Hand Gesture for Volume Control Application using Python on Raspberry Pi

Published:2022-01-21 Issue: Volume: Page:
ISSN:
Container-title:2022 The 5th International Conference on Software Engineering and Information Management (ICSIM)
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Author:

Netinant Paniti¹,Tuaktao Yannakorn¹,Rukhiran Meennapa²

Affiliation:

1. College of Digital Innovation Technology, Rangsit University, Thailand

2. Faculty of Social Technology, Rajamangala University of Technology Tawan-OK, Thailand

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3520084.3520085

Reference20 articles.

1. Hand gesture recognition based on shape parameters

2. Meennapa Rukhiran , and Paniti Netinant . 2020 . Mobile application development of hydroponic smart farm using information flow diagram. 2020 . In Proceedings of the 5th International Conference on Information Technology (InCIT’20) , IEEE, Los Alamitos, CA , 150 - 155 . https://doi.org/ 10.1109/InCIT50588.2020.9310780 10.1109/InCIT50588.2020.9310780 Meennapa Rukhiran, and Paniti Netinant. 2020. Mobile application development of hydroponic smart farm using information flow diagram. 2020. In Proceedings of the 5th International Conference on Information Technology (InCIT’20), IEEE, Los Alamitos, CA, 150-155. https://doi.org/ 10.1109/InCIT50588.2020.9310780

3. Effecting of environmental conditions to accuracy rates of face recognition based on IoT solution;Rukhiran Meennapa;J. Curr. Sci. Tech,2020

4. A sliding window approach to natural hand gesture recognition using a custom data glove

5. Designing a Sensor Glove Using Deep Learning

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