Zobrazeno 1 - 10
of 8 690
pro vyhledávání: '"Facial expression recognition"'
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract By recognizing students’ facial expressions in actual classroom situations, the students’ emotional states can be quickly uncovered, which can help teachers grasp the students’ learning rate, which allows teachers to adjust their teach
Externí odkaz:
https://doaj.org/article/d060930d4167411184964fae4fed87af
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 5, Pp 1290-1304 (2024)
Abstract Continuous emotion recognition is to predict emotion states through affective information and more focus on the continuous variation of emotion. Fusion of electroencephalography (EEG) and facial expressions videos has been used in this field
Externí odkaz:
https://doaj.org/article/45a2daa90bcc430081782799a998d3ac
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2487-2500 (2024)
To suppress the effects such as occlusions and posture variations on facial expression recognition in natural scenes, expression recognition network fusing global enhancement and local attention features (GE-LA) is proposed. Firstly, to acquire the e
Externí odkaz:
https://doaj.org/article/80ec8acc7fab4ef5aa6fd49e2ad5b128
Autor:
Qian Yang, Yanyan Fu, Qiuli Yang, Dongqing Yin, Yanan Zhao, Hao Wang, Han Zhang, Yanran Sun, Xinyi Xie, Jian Du
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
ObjectiveDepression is a complex affective disorder characterized by high prevalence and severe impact, commonly presenting with cognitive impairment. The objective diagnosis of depression lacks precise standards. This study investigates eye movement
Externí odkaz:
https://doaj.org/article/178604376ba5465d87a2f6015b77e571
Publikováno v:
PeerJ Computer Science, Vol 10, p e2272 (2024)
Facial expression recognition (FER) has caught the research community’s attention recently because it can affect many real-life applications. Multiple studies have focused on automatic FER, most of which use a machine learning methodology, FER has
Externí odkaz:
https://doaj.org/article/13e61a5910874f41be9644e43b2a450b
Publikováno v:
Teknika, Vol 13, Iss 2, Pp 226-232 (2024)
In synchronous online lectures, the lecturers often provide the lecture material directly through video conference technology. On the other hand, there are many students who do not pay attention to the lecturers when they are participating in online
Externí odkaz:
https://doaj.org/article/c289d68103574a469e5ffe7ee5c87e14
Publikováno v:
Electronic Research Archive, Vol 32, Iss 4, Pp 2745-2771 (2024)
Facial expression recognition plays a crucial role in human-computer intelligent interaction. Due to the problem of missing facial information caused by face masks, the average accuracy of facial expression recognition algorithms in mask-obscured sce
Externí odkaz:
https://doaj.org/article/b9428053974f41fbbd4ff9a24fc3246b
Publikováno v:
Iranian Journal of Psychiatry, Vol 19, Iss 4 (2024)
Objective: To investigate the accuracy of facial emotion recognition in the Iranian community, a face database validated in this community is required. To do this, we conducted a validation study on the Radboud face database. The primary objective of
Externí odkaz:
https://doaj.org/article/463bd34005b941989115de20a6a631da
Autor:
Wenming Wang, Min Jia
Publikováno v:
PeerJ Computer Science, Vol 10, p e2266 (2024)
The facial expression reflects a person’s emotion, cognition, and even physiological or mental state to a large extent. It has important application value in medical treatment, business, criminal investigation, education, and human-computer interac
Externí odkaz:
https://doaj.org/article/88a22b8647684634bec53e15a40ad6fd
Autor:
Jingyi Wang
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Facial expression recognition (FER) plays a crucial role in affective computing, enhancing human-computer interaction by enabling machines to understand and respond to human emotions. Despite advancements in deep learning, current FER systems often s
Externí odkaz:
https://doaj.org/article/71e042f359c04d58b38790382188f4c4