基于深度学习的注意力检测系统设计

Design of Attention Detection System Based on Deep Learning

阐述基于深度学习的注意力检测系统课题的构建过程,包括深度学习模型的创建、视线可视化技术的设计、注意力的检测,提出随着构建深度学习模型训练周期和次数的增加,识别检测的准确率会逐渐提高。

This paper describes the construction process of an attention detection system based on deep learning,including the creation of a deep learning model,the design of gaze visualization technology,and attention detection.It is proposed that as the training cycle and frequency of constructing a deep learning model increase,the accuracy of recognition detection will gradually improve.