Control the Movement of Mouse Using Computer Vision technique

Saravanan Alagarsamy, S. A. Reddy, V. V. Reddy, Varun S. Reddy, Y.V. Praneeth Reddy
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Abstract

Physically challenged people are feeling quite difficult to operate a mouse. The suggested method employs eye moments to direct the mouse pointer as a remedy for those who are physically unable to do so. The computer vision technique is useful for controlling the mouse on a computer using eye movements. It is an alternate way that enables a person to operate their computer using their eyes alone for those who are unable to use a mouse. For those with physical disabilities, eye moment might be seen as a crucial real-time input modality for human-computer communication. The suggested method explains how to utilize a webcam and Python to implement both eye moment and moment of cursor according to eye location, which may be used to control the cursor on the screen. Eye tracking is a sensor technology that can track what someone is looking at in real time while also detecting their presence. Eye motions are converted by the technology into a data stream that includes details like pupil position, gaze vectors for each eye, and gaze point.
使用计算机视觉技术控制鼠标的移动
身体有缺陷的人觉得操作鼠标很困难。建议的方法是使用眼球瞬间来引导鼠标指针,作为对那些身体上无法做到这一点的人的补救。计算机视觉技术用于通过眼球运动来控制计算机上的鼠标。对于那些不能使用鼠标的人来说,这是一种让人们只用眼睛操作电脑的替代方法。对于那些身体残疾的人来说,眼动可能被视为人机交流的一种重要的实时输入方式。建议的方法解释了如何利用网络摄像头和Python来实现根据眼睛位置的眼睛力矩和光标力矩,这可以用来控制屏幕上的光标。眼动追踪是一种传感器技术,可以实时追踪某人在看什么,同时也可以检测到他们的存在。该技术将眼球运动转换为数据流,其中包括瞳孔位置、每只眼睛的凝视向量和凝视点等细节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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