Construction of Facial Expression Recognition Technology of Intelligent Service Robot Based on Nanofiber Flexible Wearable Electronic Skins

Abstract

Recognizing human features is a highly significant and popular research topic in academia today, especially with regard to human intervention and computer intelligence. If you want your computer to have real intelligence, then the computer must first learn to understand human feelings, and facial expressions often contain rich emotional information. Clearly, recognizing human features is indispensable for the future intelligent development of computers. There are always a few components and many researchers are involved. Compared with the traditional facial expression recognition method, which needs to manually define features and artificially perform appropriate feature extraction, a great advantage of deep learning is to remove the disadvantages that require a lot of human intervention, thereby reducing the uncertainty of expression recognition. In recent years, deep processing has led to outstanding gains in numerous domains, including robotics, computer graphics, and natural language processing. Therefore, this article applies a popular recognition algorithm based on deep learning, combined with a nanofiber flexible wearable electronic skin, and applies it to the field of facial expression recognition. Functional expression identification is an essential goal of the external analysis of human features. Mature facial expression recognition technology has great application values.