视频游戏控制器的动态颜色识别

Anjali Saner, Ashish Sharma, Atharva Patil, Avinash Soni, Pranav More
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引用次数: 1

摘要

在本文中,我们介绍了一个使用openCv和PyObjC API的实时颜色识别框架。带有颜色检测的手势是人类之间以及人类与机器之间的一种自然的交流形式。它们在手语识别、人机界面和行为理解等领域也很有用。创造颜色识别的重点是创造人类和计算机之间更好的沟通,以传达信息。提出的项目旨在创建一个视频游戏控制器,其中我们可以使用我们的颜色检测并在计算机上玩视频游戏。可以使用深度学习和神经网络来检测手部动作的几种组合,而不是简单的图像处理和机器学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Color Recognition for Video Game Controller
In this paper, we have introduce a real-time color recognition framework using openCv and PyObjC API. Hand Gestures with color detection are a natural form of communication between humans as well as between humans and machines. They are also useful in fields like sign language recognition, human-machine interface, and behavior understanding. The focus of creating colors recognition to create better communication between humans and computers for conveying information. The proposed project aims to create a video game controller wherein we can use our color detection and play the video Game on the computer. Several combinations of hand motions can be detected using deep learning and neural networks, rather than simple image processing and machine learning.
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