ITM Web Conf.
Volume 44, 2022International Conference on Automation, Computing and Communication 2022 (ICACC-2022)
|Number of page(s)||8|
|Published online||05 May 2022|
Hand gesture based X-ray image controlling using Convolutional Neural Network
1 Department of Information Technology, Ramrao Adik Institute of Technology, Navi Mumbai, India
2 Department of Information Technology, Ramrao Adik Institute of Technology, Navi Mumbai, India
3 Department of Information Technology, Ramrao Adik Institute of Technology, Navi Mumbai, India
4 Department of Information Technology, RAIT, D.Y. Patil Deemed to be University, Navi Mumbai, India
This paper proposes a novel computer vision based system that allows doctors, surgeons and other physicians to control X-Ray images just by using simple gestures thus eliminating the need of traditional devices like mouse and keyboard. This will help reduce the risk of contamination in sterile environments like those found in the hospitals and it will also help in preventing the spread of covid by not allowing contact with contaminated surfaces. It is implemented using CNN model. CNN is specially used for image recognition as well as processing. The system detects gestures through in-built webcam and converts it into corresponding computer commands to perform its associated tasks.
Key words: Computer Vision / X-ray / Keyboards / Contamination
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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