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Latest trends in emotion recognition methods: case study on emotiw challenge

Huma Naz, Sachin Ahuja
2020 International Journal of Advanced Computer Research  
Therefore, this paper demonstrates the recent literature on the emotion recognition methods presented at Emotion Recognition in the Wild (EmotiW) challenge.  ...  Moreover, Emotion recognition models are used by more and more intelligent system to improve the multimodal interaction.  ...  The challenge is divided in subparts which are Engagement in the Wild, Audio-video Emotion Recognition and Group-based Emotion Recognition.  ... 
doi:10.19101/ijacr.2019.940117 fatcat:dkzmqvn4xrfslafxn2dbavjgni

Affective Expression Analysis in-the-wild using Multi-Task Temporal Statistical Deep Learning Model [article]

Nhu-Tai Do, Tram-Tran Nguyen-Quynh, Soo-Hyung Kim
2020 arXiv   pre-print
ABAW Challenge and Aff-Wild2 dataset raise the new challenge for classifying basic emotions and regression valence-arousal value under in-the-wild environments.  ...  We experimented on Aff-Wild2 dataset, a large-scale dataset for ABAW Challenge with the annotations for both the categorical and valence-arousal emotion.  ...  For testing set, there are 223 videos with 997332 images in the basic emotion recognition and 139 videos with 714986 images in the valence-arousal regression track.  ... 
arXiv:2002.09120v3 fatcat:ojaxz47zpzakjc7tam7y664ceu

Multiple Models Fusion for Emotion Recognition in the Wild

Jianlong Wu, Zhouchen Lin, Hongbin Zha
2015 Proceedings of the 2015 ACM on International Conference on Multimodal Interaction - ICMI '15  
Emotion recognition in the wild is a very challenging task.  ...  In this paper, we propose a multiple models fusion method to automatically recognize the expression in the video clip as part of the third Emotion Recognition in the Wild Challenge (EmotiW 2015).  ...  CONCLUSIONS In this paper, we propose a multiple models fusion method for video based emotion recognition in the wild. We first extract audio features from the video clips.  ... 
doi:10.1145/2818346.2830582 dblp:conf/icmi/WuLZ15 fatcat:xmjm7omlqvghtfcj4ykkfnn7ca

Emotion recognition in the wild

Abhinav Dhall, Roland Goecke, Tom Gedeon, Nicu Sebe
2016 Journal on Multimodal User Interfaces  
Acknowledgments We wish to thank the anonymous reviewers for their valuable comments and suggestions. We also wish to thank the Editor-in-chief Prof. Jean-Claude Martin and Springer staff Ms.  ...  Divyalochany Thangavel, who have helped in bringing together this special issue.  ...  On the contrary, images and videos on the WWW have been captured in different, unconstrained environments and this poses a big challenge to automatic facial emotion recognition methods.  ... 
doi:10.1007/s12193-016-0213-z fatcat:dc6zj4mmkrgizgkhrdelibw774

DAiSEE: Towards User Engagement Recognition in the Wild [article]

Abhay Gupta, Arjun D'Cunha, Kamal Awasthi, Vineeth Balasubramanian
2022 arXiv   pre-print
, and frustration in the wild.  ...  We introduce DAiSEE, the first multi-label video classification dataset comprising of 9068 video snippets captured from 112 users for recognizing the user affective states of boredom, confusion, engagement  ...  [26] -100,00 images annotated manually -900,000 images annotated automatically -Queried from the web 100,000 -Wild -12 AUs -23 emotion categories based on AUs Aff-Wild [31] -500 YouTube videos 500 -Wild  ... 
arXiv:1609.01885v7 fatcat:cpk4uqwywrbcbmgpfuba7cqcdq

HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild [article]

Jing Chen
2020 arXiv   pre-print
The study of affective computing in the wild setting is underpinned by databases.  ...  In order to provide a benchmark for emotion recognition, we used many conventional machine learning and deep learning methods to evaluate HEU Emotion.  ...  Since 2013, it has been used as a database for the Emotion Recognition in the wild Challenge (EmotiW).  ... 
arXiv:2007.12519v1 fatcat:rivdx4s2wjhirb77qh6xafll4e

EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction [article]

Abhinav Dhall, Amanjot Kaur, Roland Goecke, Tom Gedeon
2018 arXiv   pre-print
This paper details the sixth Emotion Recognition in the Wild (EmotiW) challenge. EmotiW 2018 is a grand challenge in the ACM International Conference on Multimodal Interaction 2018, Colorado, USA.  ...  This year EmotiW contains three sub-challenges: a) Audio-video based emotion recognition; b) Student engagement prediction; and c) Group-level emotion recognition.  ...  Request permissions from permissions@acm.org. ICMI '18, October 16-20, 2018 Figure 1 : The images of the videos in the student engagement recognition sub-challenge [9] .  ... 
arXiv:1808.07773v1 fatcat:rykklyagvbdudbxh3nnqtoorqu

Expression Recognition in the Wild Using Sequence Modeling [article]

Sowmya Rasipuram, Junaid Hamid Bhat, Anutosh Maitra
2020 arXiv   pre-print
Aff-Wild2 database consists of videos in the wild labelled for seven different expressions at frame level.  ...  Expression recognition in the wild is a very interesting problem and is challenging as it involves detailed feature extraction and heavy computation.  ...  ACKNOWLEDGEMENTS The authors gratefully acknowledge the contribution of reviewers' comments.  ... 
arXiv:2003.00170v1 fatcat:ufab3y66irf7jmmoivhbr7he64

Emotion Recognition for In-the-wild Videos [article]

Hanyu Liu, Jiabei Zeng, Shiguang Shan, Xilin Chen
2020 arXiv   pre-print
This paper is a brief introduction to our submission to the seven basic expression classification track of Affective Behavior Analysis in-the-wild Competition held in conjunction with the IEEE International  ...  Conference on Automatic Face and Gesture Recognition (FG) 2020.  ...  ACKNOWLEDGMENT The authors would like to thank Xuran Sun for providing us with the pre-trained ResNet FER model and Yuanhang Zhang for assistance.  ... 
arXiv:2002.05447v1 fatcat:vyrjmivndjbp5i3c7codcr7hhe

Facial Affect "In-the-Wild": A Survey and a New Database

Stefanos Zafeiriou, Athanasios Papaioannou, Irene Kotsia, Mihalis Nicolaou, Guoying Zhao
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
To the best of our knowledge, this is the first benchmark proposed for measuring continuous affect in the valence-arousal space "in-the-wild".  ...  Arguably, in order to make further progress in automatic understanding of facial behaviour, datasets that have been captured in in-the-wild and in various milieus have to be developed.  ...  These databases have been used in the series of Emotion Recognition "in-the-wild" challenges (EmotiW 2013, 2014 and 2015 [18, 17, 16, 15, 18] ).  ... 
doi:10.1109/cvprw.2016.186 dblp:conf/cvpr/ZafeiriouPKNZ16 fatcat:vabfqasierfv3euaw42wr6uiki

Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild

Mengyi Liu, Ruiping Wang, Shaoxin Li, Shiguang Shan, Zhiwu Huang, Xilin Chen
2014 Proceedings of the 16th International Conference on Multimodal Interaction - ICMI '14  
from 1520 subjects, identities are served as supervised label in the deep networks)  The 256x7x7=12544 nodes values output from the last convolutional layer are used for final image features Outline  ...  Tab.1 Attributes of EmotiW 2014 challenge data [1] [1] Abhinav Dhall, Roland Goecke, Jyoti Joshi, Karan Sikka and Tom Gedeon, Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol  ... 
doi:10.1145/2663204.2666274 dblp:conf/icmi/LiuWLSHC14 fatcat:v5p7fs4uh5cq7l5ldcpnnpx3d4

Emotion recognition in the wild challenge 2013

Abhinav Dhall, Roland Goecke, Jyoti Joshi, Michael Wagner, Tom Gedeon
2013 Proceedings of the 15th ACM on International conference on multimodal interaction - ICMI '13  
The Emotion Recognition In The Wild Challenge and Workshop (EmotiW) 2013 Grand Challenge consists of an audio-video based emotion classification challenges, which mimics realworld conditions.  ...  The database in the 2013 challenge is the Acted Facial Expression In Wild (AFEW), which has been collected from movies showing close-to-real-world conditions.  ...  With the increase in the number of video clips online, it is worthwhile to explore the performance of emotion recognition methods that work 'in the wild'.  ... 
doi:10.1145/2522848.2531739 dblp:conf/icmi/DhallGJWG13a fatcat:de44wndqhvhoddl3ieuiemrz6e

Emotion recognition in the wild challenge 2016

Abhinav Dhall, Roland Goecke, Jyoti Joshi, Tom Gedeon
2016 Proceedings of the 18th ACM International Conference on Multimodal Interaction - ICMI 2016  
The Emotion Recognition In The Wild Challenge and Workshop (EmotiW) 2013 Grand Challenge consists of an audio-video based emotion classification challenges, which mimics realworld conditions.  ...  The database in the 2013 challenge is the Acted Facial Expression In Wild (AFEW), which has been collected from movies showing close-to-real-world conditions.  ...  With the increase in the number of video clips online, it is worthwhile to explore the performance of emotion recognition methods that work 'in the wild'.  ... 
doi:10.1145/2993148.3007626 dblp:conf/icmi/DhallGJG16 fatcat:3uotywbzxvetbgqtdfloneoqsi

Emotion Recognition In The Wild Challenge 2014

Abhinav Dhall, Roland Goecke, Jyoti Joshi, Karan Sikka, Tom Gedeon
2014 Proceedings of the 16th International Conference on Multimodal Interaction - ICMI '14  
The Second Emotion Recognition In The Wild Challenge (EmotiW) 2014 consists of an audio-video based emotion classification challenge, which mimics the real-world conditions.  ...  With the exponential increase in the number of video clips being uploaded online, it is worthwhile to explore the performance of emotion recognition methods that work 'in the wild'.  ...  There are several challenges to be tackled for emotion recognition 'in the wild'.  ... 
doi:10.1145/2663204.2666275 dblp:conf/icmi/DhallGJSG14 fatcat:tbxouuvkgjbcnlg5cviqjgbi7i

A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data

Samadiani, Huang, Cai, Luo, Chi, Xiang, He
2019 Sensors  
resolved by only analysing images/videos in the FER system.  ...  We theoretically analyse the feasibility and achievability of our new expression recognition system, especially for the use in the wild environment, and point out the future directions to design an efficient  ...  and robust expression recognition system by integrating the three categories of sensors to image/video analysis, especially for use in the extreme wild environment, and point out the future directions  ... 
doi:10.3390/s19081863 fatcat:bqsx53jtwvf23cs6ykpfi7qqga
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