近年来, 为实现服务机器人智能人性化的人机交互、用户认知障碍诊断等, 视觉注意力(Visual Focus of Attention, VFOA)检测技术已成为国内外的热点研究课题。重点分析了该技术的流程及相关方法实施细节, 给出了目前VFOA检测研究时使用到的数据集情况, 并对视觉注意力检测技术的应用场景进行了梳理。通过对当前视觉注意力检测系统优缺点的分析, 指出了该技术的研究难点与未来研究方向。

In recent years, in order to solve the problems of the intelligently humanized human-robot interaction in service robots, cognitive disorder diagnosis, etc., visual focus of attention(VFOA) detection technology was proposed, which has become a hot research topic at home and abroad. In this paper, the process and realization methods of this technology are analyzed and evaluated firstly. Then, the data sets used in current VFOA detection researches are summarized. Thirdly, the application scenarios of VFOA detection technology are sorted out. Based on analyzing the advantages and disadvantages about the VFOA detection system, the technical difficulties are pointed out, and the development trends are forecasted.