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Touchless Recognition of Hand Gesture Digits and English Characters Using Convolutional Neural Networks

机译:使用卷积神经网络的手势数字和英文字符的非接触式识别

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Computer technology has changed the way humans define success. Gesture recognition is a new and intuitive interaction method, as it does not require any mechanical interface for interaction. The model proposed takes input from the user using an infrared emitter and a web camera and this is used to generate a 28 × 28 image contains the drawn character. This is passed through a convolutional neural network which detects the character drawn. The benefits include reliability and cost-effective nature of the proposed system. Such an approach can help people with disabilities.
机译:计算机技术已经改变了人类定义成功的方式。手势识别是一种新颖且直观的交互方法,因为它不需要任何机械界面即可进行交互。提出的模型使用红外发射器和网络摄像头从用户那里获取输入,并用于生成包含绘制字符的28×28图像。这是通过一个卷积神经网络传递的,该网络可以检测绘制的字符。好处包括所提议系统的可靠性和成本效益性质。这种方法可以帮助残疾人。

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