机译:通过基于图像的动态多信息和双峰深度学习对人体疲劳表达进行识别
Shandong Univ, Sch Mech Engn, Vehicle Engn Res Inst, 17923 Jingshi Rd, Jinan 250061, Peoples R China;
Shandong Univ, Sch Mech Engn, Vehicle Engn Res Inst, 17923 Jingshi Rd, Jinan 250061, Peoples R China|Shandong Univ, Sch Mech Engn, Minist Educ, Key Lab High Efficiency & Clean Mech Manufacture, 17923 Jingshi Rd, Jinan 250061, Peoples R China;
Shandong Univ, Sch Mech Engn, Vehicle Engn Res Inst, 17923 Jingshi Rd, Jinan 250061, Peoples R China;
Shandong Univ, Sch Mech Engn, Vehicle Engn Res Inst, 17923 Jingshi Rd, Jinan 250061, Peoples R China;
Shandong Univ, Sch Mech Engn, Vehicle Engn Res Inst, 17923 Jingshi Rd, Jinan 250061, Peoples R China;
Shandong Univ, Sch Mech Engn, Vehicle Engn Res Inst, 17923 Jingshi Rd, Jinan 250061, Peoples R China;
fatigue expression recognition; texture; landmark; bimodal learning; dynamic multi-information;
机译:基于深度学习的表达-EEG双峰融合情绪识别方法
机译:基于神经生理信号和动态深度极限学习机的任务型心理疲劳识别
机译:基于面部表达的人类情感认可通过深度学习高分辨率图像
机译:基于深入学习的人体表达识别对嘈杂图像的评估
机译:利用深度学习技术对人形社交机器人面部表情进行建模和设计分析。
机译:基于深度学习的表达-EEG双峰融合情绪识别方法
机译:基于图像的人类活动识别,具有深刻的表示和剩余学习