Zobrazeno 1 - 10
of 2 844
pro vyhledávání: '"Facial emotion recognition"'
Autor:
Huang Y, Li Y, Su T, Wang H, Xu S, Xu J, Zheng S, Du J, Wang Y, Zhang R, Meng Y, Guo X, Xiao L, Tang Y
Publikováno v:
Nature and Science of Sleep, Vol Volume 16, Pp 1637-1651 (2024)
Yujia Huang,1,2,* Yinan Li,2,* Tong Su,3 Hao Wang,2 Shuyu Xu,2 Jingzhou Xu,2 Siqi Zheng,4 Jing Du,2 Yajing Wang,2 Ruike Zhang,2 Yao Meng,2 Xin Guo,2 Lei Xiao,2 Yunxiang Tang3 1Psychology Department, The Second Naval Hospital of Southern Theat
Externí odkaz:
https://doaj.org/article/ca4e8d320c884cceba740ad3fc8ac8b6
Autor:
Nguyen Thi Thu Hoa, Ngo Huu Huy, Giap Manh Tuyen, Nong Van Duong, Nguyen Thi Kieu Oanh, Nguyen Ba Bang
Publikováno v:
Tạp chí Khoa học, Vol 53, Iss 3A, Pp 23-31 (2024)
Recognizing emotions on human faces has always received attention and attraction from researchers. Along with the development of artificial intelligence, facial emotion recognition cameras are increasingly being introduced into various fields such as
Externí odkaz:
https://doaj.org/article/86f3086fed374277854b2556c396ad84
Publikováno v:
陆军军医大学学报, Vol 46, Iss 13, Pp 1585-1592 (2024)
Objective To explore the mediating effect of facial emotion recognition on prosocial behavior of medical students in mask-obscured scenes. Methods Fifty-three medical students from a medical university in Chongqing were enrolled from July to Septembe
Externí odkaz:
https://doaj.org/article/ef60a73cabb74d4e8947911181a8ffcb
Autor:
Radu-Daniel BOLCAȘ
Publikováno v:
Revista Română de Informatică și Automatică, Vol 34, Iss 2, Pp 85-96 (2024)
This paper investigates the utilisation of ChatGPT (Generative Pre-trained Transformer) in the field of Facial Emotion Recognition (FER), streamlining development processes and making them smoother and faster. With ChatGPT, coding and debugging happe
Externí odkaz:
https://doaj.org/article/a85c2df5c66a422b9f89e77579364fc4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract Detecting emotions from facial images is difficult because facial expressions can vary significantly. Previous research on using deep learning models to classify emotions from facial images has been carried out on various datasets that conta
Externí odkaz:
https://doaj.org/article/16034c94178548aaa7c1d6f00408fe13
Publikováno v:
Klinik Psikiyatri Dergisi, Vol 27, Iss 2, Pp 139-149 (2024)
INTRODUCTION: This study investigated the facial emotion recognition problems in children with autism spectrum disorder and how different emotional primes (visual and vocal primes) affected this deficiency. METHODS: Two separate experiments using the
Externí odkaz:
https://doaj.org/article/21e3f45f836649598dad0010e959e0f4
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
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a chronic breathing disorder characterized by recurrent upper airway obstruction during sleep. Although previous studies have shown a link between OSAHS and depressive mood, the
Externí odkaz:
https://doaj.org/article/8509d899483847419ffa2bb021c2b61b
Akademický článek
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Autor:
Naomi Leona Werkmann, Arleta Angelika Luczejko, Klara Hagelweide, Rudolf Stark, Sarah Weigelt, Hanna Christiansen, Meinhard Kieser, Kathleen Otto, Corinna Reck, Ricarda Steinmayr, Linda Wirthwein, Anna-Lena Zietlow, Christina Schwenck, the COMPARE-family research group
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
ObjectiveFacial emotion recognition (FER) is a fundamental social skill essential for adaptive social behaviors, emotional development, and overall well-being. FER impairments have been linked to various mental disorders, making it a critical transdi
Externí odkaz:
https://doaj.org/article/4f2bcf07db774747bdbfb425aff9be45