摘要
为维护公共交通安全乘车环境,减少因环境影响导致驾驶员情绪失控所带来的安全隐患,项目团队开发了一套基于Python的情绪识别报警系统,从系统原理、系统结构、模型建立与训练、测试效果等方面对其进行了详尽的介绍。结果表明,该系统可准确快速地识别驾驶员的情绪状态并做出相应处理。
In order to maintain the safe environment of public transportation and reduce the safety hazards caused by the loss of driver’s emotion due to environmental impact,our team has developed a Python-based emotional recognition system,which is described in detail in this paper from the aspects of system principle,system structure,model building and training,and test ingress.The results show that the system can accurately and quickly identify the driver’s emotional state and deal with it accordingly.
作者
王亮亮
苏蕤
程昆
WANG Liangliang;SU Rui;CHENG Kun(Shandong Institute of Commerce and Technology, Jinan, Shandong 250103, China)
出处
《山东商业职业技术学院学报》
2020年第2期94-99,共6页
Journal of Shandong Institute of Commerce and Technology
基金
山东商业职业技术学院校级课题阶段性成果(2018A110)。