Hand Gesture Recognition with Convolution Neural Networks
2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI)(2019)
摘要
Hand gestures are the most common forms of communication and have great importance in our world. They can help in building safe and comfortable user interfaces for a multitude of applications. Various computer vision algorithms have employed color and depth camera for hand gesture recognition, but robust classification of gestures from different subjects is still challenging. I propose an algorithm for real-time hand gesture recognition using convolutional neural networks (CNNs). The proposed CNN achieves an average accuracy of 98.76% on the dataset comprising of 9 hand gestures and 500 images for each gesture.
更多查看译文
关键词
deep learning,Convolution Neural Networks,Hand Gesture Recognition
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要