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

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pallavi.chavan@rait.ac.in

Abstract

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.