Results 11 to 20 of about 60,130 (279)

A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges

Frontiers in Psychology, 2018
Over the last few years, automatic facial micro-expression analysis has garnered increasing attention from experts across different disciplines because of its potential applications in various fields such as clinical diagnosis, forensic investigation and
Yee-Hui Oh, John See, Anh Cat Le Ngo, Raphael C. -W. Phan, Raphael C. -W. Phan, Vishnu M. Baskaran   +5 more
doaj   +3 more sources

Recognizing Facial Expressions Using a Shallow Convolutional Neural Network

IEEE Access, 2019
Generally, facial expressions could be classified into two categories: static facial expressions and micro-expressions. There are many promising applications of facial expression recognition, such as pain detection, lie detection, and babysitting ...
Si Miao, Haoyu Xu, Zhenqi Han, Yongxin Zhu   +3 more
doaj   +3 more sources

Interpretation and Working through Contemptuous Facial Micro-Expressions Benefits the Patient-Therapist Relationship. [PDF]

Int J Environ Res Public Health, 2019
Datz F, Wong G, Löffler-Stastka H.
europepmc   +2 more sources

MEGC2020 - The Third Facial Micro-Expression Grand Challenge [PDF]

2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020
The recent emergence of automatic facial micro-expression analysis has attracted a lot of attention in the last five years. Compared to the advances made in micro-expression recognition, the task of micro-expression spotting from long videos is tremendously in need of more effective methods.
LI, J. (Jingting), Wang, S.-J. (Su-Jing), Yap, M. H. (Moi Hoon), See, J. (John), Hong, X. (Xiaopeng), Li, X. (Xiaobai)   +5 more
openaire   +2 more sources

Recognising spontaneous facial micro-expressions [PDF]

2011 International Conference on Computer Vision, 2011
Facial micro-expressions are rapid involuntary facial expressions which reveal suppressed affect. To the best knowledge of the authors, there is no previous work that successfully recognises spontaneous facial micro-expressions. In this paper we show how a temporal interpolation model together with the first comprehensive spontaneous micro-expression ...
Zhao Guoying, Li Xiaobai, Pietikäinen Matti, Pfister Tomas   +3 more
openaire   +1 more source

Facial Micro-Expressions Grand Challenge 2018 Summary [PDF]

2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), 2018
This paper summarises the Facial Micro-Expression Grand Challenge (MEGC 2018) held in conjunction with the 13th IEEE Conference on Automatic Face and Gesture Recognition (FG) 2018. In this workshop, we aim to stimulate new ideas and techniques for facial micro-expression analysis by proposing a new cross-database challenge.
Yap, M. H. (Moi Hoon), See, J. (John), Hon, X. (Xiaopeng), Wang, S.-J. (Su-Jing)   +3 more
openaire   +2 more sources

Magnifying Spontaneous Facial Micro Expressions for Improved Recognition [PDF]

2020 25th International Conference on Pattern Recognition (ICPR), 2021
Building an effective automatic micro expression recognition (MER) system is becoming increasingly desirable in computer vision applications. However, it is also very challenging given the fine-grained nature of the expressions to be recognized. Hence, we investigate if amplifying micro facial muscle movements as a pre-processing phase, by employing ...
Pratikshya Sharma, Sonya Coleman, Pratheepan Yogarajah, Laurence Taggart, Pradeepa Samarasinghe   +4 more
openaire   +1 more source

Emotional context influences micro-expression recognition. [PDF]

PLoS ONE, 2014
Micro-expressions are often embedded in a flow of expressions including both neutral and other facial expressions. However, it remains unclear whether the types of facial expressions appearing before and after the micro-expression, i.e., the emotional ...
Ming Zhang, Qiufang Fu, Yu-Hsin Chen, Xiaolan Fu   +3 more
doaj   +1 more source

Micron-BERT: BERT-Based Facial Micro-Expression Recognition

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Micro-expression recognition is one of the most challenging topics in affective computing. It aims to recognize tiny facial movements difficult for humans to perceive in a brief period, i.e., 0.25 to 0.5 seconds. Recent advances in pre-training deep Bidirectional Transformers (BERT) have significantly improved self-supervised learning tasks in computer
Nguyen, Xuan-Bac, Duong, Chi Nhan, Li, Xin, Gauch, Susan, Seo, Han-Seok, Luu, Khoa   +5 more
openaire   +2 more sources

N-Step Pre-Training and Décalcomanie Data Augmentation for Micro-Expression Recognition

Sensors, 2022
Facial expressions are divided into micro- and macro-expressions. Micro-expressions are low-intensity emotions presented for a short moment of about 0.25 s, whereas macro-expressions last up to 4 s.
Chaehyeon Lee, Jiuk Hong, Heechul Jung
doaj   +1 more source