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首页> 外文会议>International Conference on Intelligent Computing and Control Systems >Gesture Controlled Video Player A Non-Tangible Approach to Develop a Video Player Based on Human Hand Gestures Using Convolutional Neural Networks
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Gesture Controlled Video Player A Non-Tangible Approach to Develop a Video Player Based on Human Hand Gestures Using Convolutional Neural Networks

机译：手势控制的视频播放器一种非卷入方法，使用卷积神经网络开发基于人的手势的视频播放器

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摘要

Development of human-computer-interaction (HCI) is a non-tangible way of communication between a human and computer. Our proposed project is an alternative to this, wherein we are developing a new technique to interact with the computer in a non-tangible way. Our project aims at developing a video-player controlled by the human hand gestures using convolutional neural network (CNN). This application uses the webcam to capture gestures by the user and perform basic operations such as play and pause. The gesture would serve as the direct command for operations such as play or pause the video based on the user's gestures onto the screen. The project is implemented using Python, with Keras and Tensorflow as backend.
机译：人机交互（HCI）的发展是人与计算机之间无形的交流方式。我们提议的项目是对此的替代方案，其中我们正在开发一种新技术，以非有形的方式与计算机进行交互。我们的项目旨在开发使用卷积神经网络（CNN）由人类手势控制的视频播放器。该应用程序使用网络摄像头捕获用户的手势并执行基本操作，例如播放和暂停。该手势将用作操作的直接命令，例如，基于用户在屏幕上的手势播放或暂停视频。该项目使用Python实现，并以Keras和Tensorflow作为后端。

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