摘要
针对传统心理数据采集与分析系统存在着数据采集困难、可操作性差且预警较为困难且时效性差的问题,文中提出了一种基于3D面部数据及人工智能算法的情感数据采集分析与心理预警系统。该系统基于新一代体感设备Kinect V2采集三维面部数据,并利用数据挖掘的方法获取面部相关表情特征,再通过人工智能算法对获取的面部特征进行识别分类。在此基础上,利用表情变化与心理变化的相关性判断被检测对象的心理变化,从而完成被检测对象心理数据的采集及预警。该预警系统与传统方法相比能够使情感数据的采集分析更加的便捷、准确,并能够在心理预警上发挥更有效的作用。
Traditional mental data acquisition and analysis has difficulty in data acquisition,poor maneuverability,difficult early warning and poor timeliness.To solve the above problems,an emotional data acquisition analysis and psychological warning system based on 3D facial data and artificial intelligence algorithm is proposed.A new generation of somatosensory equipment called Kinect V2 is used to collect 3D facial data,and relevant facial expression features are acquired by data mining method,and then facial features are identified and classified by artificial intelligence algorithm.On this basis,the correlation between expression change and psychological change is used to judge the psychologicalchange of the tested object,so as to complete the psychological data collection and psychologica early warning of the of the tested object.Compared with traditional methods,this warning system can make the collection and analysis of emotional data more convenient and accurate,and play a more effective role in psychological early warning.
作者
董薇
DONG Wei(Xi’an Vocational and Technical College of Aeronautics and Astronautics,Xi’an 710089,China)
出处
《电子设计工程》
2020年第5期152-156,共5页
Electronic Design Engineering
关键词
3D面部数据
智能算法
表情识别
心理预警
3D facial data
intelligent algorithm
facial expression recognition
psychological warning
