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Affect recognition from facial movements and body gestures by hierarchical deep spatio-temporal features and fusion strategy.

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第一作者： Bo,Sun

第一单位： College of Information Science and Technology, Beijing Normal University, Beijing, 100875, China. Electronic address: tosunbo@bnu.edu.cn.

作者： Bo,Sun ^[1] ; Siming,Cao ^[2] ; Jun,He ^[3] ; Lejun,Yu ^[4]

作者单位： College of Information Science and Technology, Beijing Normal University, Beijing, 100875, China. Electronic address: tosunbo@bnu.edu.cn. ^[1] College of Information Science and Technology, Beijing Normal University, Beijing, 100875, China. Electronic address: caosiming@mail.bnu.edu.cn. ^[2] College of Information Science and Technology, Beijing Normal University, Beijing, 100875, China. Electronic address: hejun@bnu.edu.cn. ^[3] College of Information Science and Technology, Beijing Normal University, Beijing, 100875, China. Electronic address: yulejun@bnu.edu.cn. ^[4]

关键词 Affect recognition Bilateral long short-term memory recurrent neural network Convolutional neural network Deep learning Deep spatio-temporal hierarchical feature Multi-modal feature fusion strategy

医学主题词生物识别(Biometric Identification);面部表情(Facial Expression);手势(Gestures);人类(Humans)

DOI 10.1016/j.neunet.2017.11.021

PMID 29763743

发布时间 2019-12-10

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准确一般字义偏差语意偏离译文作用小提交