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Effective emotion recognition in movie audio tracks

Margarita Kotti, Yannis Stylianou
2017 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
This paper addresses the problem of speech emotion recognition from movie audio tracks. The recently collected Acted Facial Expression in the Wild 5.0 database is used.  ...  An accuracy of 65.63% is reported, outperforming a baseline system that uses the K-nearest neighbor classifier and has an accuracy of 56.88%.  ...  EXPERIMENTS Database We used the database collected for the third Emotion Recognition in the Wild (EmotiW) challenge 2015 [16] .  ... 
doi:10.1109/icassp.2017.7953132 dblp:conf/icassp/KottiS17 fatcat:x3tk35zl6faz5gecanupl2agam

Deep Learning Approach: Emotion Recognition from Human Body Movements

The experimental result showed the better recognition accuracy of the feed forward deep convolution neural network architecture.  ...  Among them emotion prediction from body movements is commonly used because it convey the emotional states of person from different camera view.  ...  A novel system for Emotion Recognition in the Wild (EmotiW) is developed using hybrid CNN-RNN architecture and achieve better results over other techniques [XXII] .  ... 
doi:10.26782/jmcms.2019.06.00015 fatcat:qpnznyx5qvazlbn423svfpojdq

Facial Emotion Recognition Using Hybrid Features

Abdulrahman Alreshidi, Mohib Ullah
2020 Informatics  
For facial expression classification, we train a random forest classifier with a latent emotional state that takes care of the mis-/false detection.  ...  In this paper, we propose a modular framework for human facial emotions' recognition.  ...  These features are used to train a random forest classifier during the training stage. The same features are used to classify facial emotions into seven different states during the testing stage.  ... 
doi:10.3390/informatics7010006 fatcat:bicmqtsqlvce3hqyhmssmtjxuy

Emotion Recognition System Based on Hybrid Techniques

Wisal Hashim Abdulsalam, University of Baghdad, Iraq, Rafah Shihab Alhamdani, Mohammed Najm Abdullah
2019 International Journal of Machine Learning and Computing  
The extracted features are then fed to a random forest classifier. In addition, a bi-modal system for recognising emotions from facial expressions and speech signals is presented.  ...  The aim of this paper is to develop an emotion recognition system from facial expressions and speech using a hybrid of machine-learning algorithms in order to enhance the overall performance of human computer  ...  neural network (DCNN) for FER and the traditional one that uses random forest (RF) for SER for seven emotions.  ... 
doi:10.18178/ijmlc.2019.9.4.831 fatcat:wkst3im6djhobhvxviepev2ptq

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

Samadiani, Huang, Cai, Luo, Chi, Xiang, He
2019 Sensors  
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  ...  Meanwhile, we design a framework of an expression recognition system, which uses multimodal sensor data (provided by the three categories of sensors) to provide complete information about emotions to assist  ...  Using different classifiers in an ensemble algorithm can handle various challenges, i.e., deep network for managing lighting conditions, and regression random forests for head pose can lead to having a  ... 
doi:10.3390/s19081863 fatcat:bqsx53jtwvf23cs6ykpfi7qqga

Facial expression and attributes recognition based on multi-task learning of lightweight neural networks [article]

Andrey V. Savchenko
2021 arXiv   pre-print
It was experimentally demonstrated that they lead to near state-of-the-art results in age, gender and race recognition on the UTKFace dataset and emotion classification on the AffectNet dataset.  ...  The models and source code are publicly available at  ...  Acknowledgements The work is supported by RSF (Russian Science Foundation) grant 20-71-10010.  ... 
arXiv:2103.17107v3 fatcat:tjvuy6ew55b5noqoawdmpjufeq

Happy Emotion Recognition from Unconstrained Videos Using 3D Hybrid Deep Features

Najmeh Samadiani, Guangyan Huang, Yu Hu, Xiaowei Li
2021 IEEE Access  
In this paper, we propose a Happy Emotion Recognition model using the 3D hybrid deep and distance features (HappyER-DDF) method to improve the accuracy by utilizing and extracting two different types of  ...  Only a few methods are designed to recognize single happy emotion captured in the unconstrained videos; however, their limitations lie in that the processing of severe head pose variations has not been  ...  Due to overall low accuracy resulted in the emotion recognition systems in the wild, creating such a successful standalone happy emotion recognition approach can inspire us to develop the single emotion  ... 
doi:10.1109/access.2021.3061744 fatcat:3gka4tion5abdoe3kiqmzwkhu4

Photogram Classification based Emotion Recognition

Juan M. Lopez-Gil, Nestor Garay-Vitoria
2021 IEEE Access  
Second, classifiers trained on the sets of emotional photograms were then used to emotionally classify all the videos in each database, using all the photograms with no preprocessing or photogram selection  ...  The videos were classified using different voting strategies regarding the outcome of each photogram in the video with all the photogram emotion recognition classifiers obtained results reflecting recognition  ...  The tree is built at the top bottom, dividing the training set, and starts selecting the best variable in the tree root. 10) RANDOM FOREST (RF) This builds a forest by combining non-pruned trees [70  ... 
doi:10.1109/access.2021.3117253 fatcat:xp6k77usg5czvacofgr3aujdey

Facial Expression Recognition in the Wild using Rich Deep Features [article]

Abubakrelsedik Karali, Ahmad Bassiouny, Motaz El-Saban
2016 arXiv   pre-print
However, Facial Expression Recognition in the wild remains an area where much work is still needed to serve real-world applications.  ...  To this end, in this paper we present a novel approach towards facial expression recognition. We fuse rich deep features with domain knowledge through encoding discriminant facial patches.  ...  In this case, we performed training using random forests.  ... 
arXiv:1601.02487v1 fatcat:dnz2pi4zuvditnky66mnqsxeci

Deep Neural Network Approach for Pose, Illumination, and Occlusion Invariant Driver Emotion Detection

Susrutha Babu Sukhavasi, Suparshya Babu Sukhavasi, Khaled Elleithy, Ahmed El-Sayed, Abdelrahman Elleithy
2022 International Journal of Environmental Research and Public Health  
Monitoring drivers' emotions is the key aspect of designing advanced driver assistance systems (ADAS) in intelligent vehicles.  ...  To ensure safety and track the possibility of vehicles' road accidents, emotional monitoring will play a key role in justifying the mental status of the driver while driving the vehicle.  ...  Acknowledgments: The authors acknowledge the University of Bridgeport for providing the necessary resources to carry out this research conducted under the supervision of Khaled Elleithy.  ... 
doi:10.3390/ijerph19042352 pmid:35206540 pmcid:PMC8871818 fatcat:3ykpm7fcs5fhvk4xfukzjr7w5u

Distribution-based iterative pairwise classification of emotions in the wild using LGBP-TOP

Timur R. Almaev, Anil Yüce, Alexandru Ghitulescu, Michel F. Valstar
2013 Proceedings of the 15th ACM on International conference on multimodal interaction - ICMI '13  
The Emotion Recognition in the Wild challenge provides an opportunity to develop approaches in this direction.  ...  Automatic facial expression analysis promises to be a gamechanger in many application areas. But before this promise can be fulfilled, it has to move from the laboratory into the wild.  ...  Due to the wild nature of the data used in this challenge, this robustness property is particularly useful for the overall recognition accuracy of the system.  ... 
doi:10.1145/2522848.2531742 dblp:conf/icmi/AlmaevYGV13 fatcat:rapkq7iryfev5lt4yasw7xkf54

Literature Review of Action Recognition in the Wild [article]

Asket Kaur, Navya Rao, Tanya Joon
2019 arXiv   pre-print
Action Recognition problem in the untrimmed videos is a challenging task and most of the papers have tackled this problem using hand-crafted features with shallow learning techniques and sophisticated  ...  The literature review presented below on Action Recognition in the wild is the in-depth study of Research Papers.  ...  Overview In this work, they propose a learning-based approach using random forest to calibrate the ToF depth images.  ... 
arXiv:1911.12249v1 fatcat:46qu4wtyqvhuxcomoymdd5owcm

Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests

arnaud dapogny, Kevin Bailly, Severine Dubuisson
2017 IEEE Transactions on Affective Computing  
In this paper, we use Conditional Random Forests to capture low-level expression transition patterns.  ...  Automatic facial expression classification (FER) from videos is a critical problem for the development of intelligent human-computer interaction systems.  ...  ACKNOWLEDGMENTS This work has been supported by the French National Agency (ANR) in the frame of its Technological Research CONTINT program (JEMImE, project number ANR-13-CORD-0004).  ... 
doi:10.1109/taffc.2017.2708106 fatcat:7adpvkdwfrbsdjl7446qmfrxpa

3D Approaches and Challenges in Facial Expression Recognition Algorithms—A Literature Review

Francesca Nonis, Nicole Dagnes, Federica Marcolin, Enrico Vezzetti
2019 Applied Sciences  
Thanks to technological development, 3D facial data, both still images and video sequences, have become increasingly used to improve the accuracy of FER systems.  ...  Furthermore, we describe in detail the most used databases to address the problem of facial expressions and emotions, highlighting the results obtained by the various authors.  ...  in the wild.  ... 
doi:10.3390/app9183904 fatcat:dvbywdwqyvhp7l5ucac6d5bpue

Deep Fusion: An Attention Guided Factorized Bilinear Pooling for Audio-video Emotion Recognition [article]

Yuanyuan Zhang, Zi-Rui Wang, Jun Du
2019 arXiv   pre-print
Automatic emotion recognition (AER) is a challenging task due to the abstract concept and multiple expressions of emotion.  ...  Although there is no consensus on a definition, human emotional states usually can be apperceived by auditory and visual systems.  ...  ACKNOWLEDGMENT The authors would like to thank the organizers of EmotiW for evaluating the accuracies of the proposed systems in the test set of AFEW database.  ... 
arXiv:1901.04889v1 fatcat:opq2jcy52rev5djnwaehetdaoq
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