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Intelligent Facial Emotion Recognition

Shahana A., Harish Binu K. P.
2019 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
The system introduces an intelligent facial emotion recognition using arti?cial neural network (ANN). The concept ?rst takes modi?  ...  cial Neural Network is used as a classi?er for recognizing seven facial emotions. ANN is implemented as classi?er for pattern recognition.  ...  Figure 7 . 7 Image after PSO Emotion Recognition by ANN Lead an investigation of seven-class facial emotion recognition utilizing the features automatically created by the mGA-embedded PSO.  ... 
doi:10.32628/cseit1953161 fatcat:3jl4kz3htzczzfro3zpnymyeoy

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.  ...  Yan [29] presented a collaborative discriminative multi-metric learning method for facial expression recognition considering videos.  ... 
doi:10.3390/informatics7010006 fatcat:bicmqtsqlvce3hqyhmssmtjxuy

Reducing Videoconferencing Fatigue through Facial Emotion Recognition

Jannik Rößler, Jiachen Sun, Peter Gloor
2021 Future Internet  
Emotion was tracked through Zoom face video snapshots using facial emotion recognition that recognized six emotions (happy, sad, fear, anger, neutral, and surprise).  ...  Our experimental setting consisted of 35 participants collaborating in eight teams over Zoom in a one semester course on Collaborative Innovation Networks in bi-weekly video meetings, where each team presented  ...  Leveraging facial emotion recognition, some researchers analyzed the relationship between facial expressions and the learning process, especially in e-learning environments, to monitor and measure student  ... 
doi:10.3390/fi13050126 fatcat:4al2nvantvhejaxqdosw5elvyi

A Local Approach for Negative Emotion Detection

Adel Lablack, Taner Danisman, loan Marius Bilasco, Chaabane Djeraba
2014 2014 22nd International Conference on Pattern Recognition  
Recognizing human facial expression and emotion by computer is an interesting and challenging problem.  ...  A measure that is sensitive to facial movements is used in predefined regions of interest to detect the negative emotions.  ...  INTRODUCTION The automatic recognition of facial expressions has been an active research topic since the early nineties.  ... 
doi:10.1109/icpr.2014.80 dblp:conf/icpr/LablackDBD14 fatcat:boj64nwpvbfy7crcx6hhxjwua4

Learner's Intelligent Emotion Detection System in U-learning Environment

Hyejin Kim
2017 International Journal of u- and e- Service, Science and Technology  
The proposed method stated can assist a developer to create a system that can detect the negative mood of the students in an u-learning environment.  ...  The different expression of eyes, lips and face are detected real-time. Based on the detection, it is being compared to the pre-determined map of shapes and compare to the data stored in database.  ...  Emotion Recognition Emotion recognition is the process of identifying human emotion, most typically from facial expressions.  ... 
doi:10.14257/ijunesst.2017.10.8.09 fatcat:xxhrijijljghdg6csinlf5r7om

Emotional Beasts

Guillermo Bernal, Pattie Maes
2017 Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA '17  
Second, the use of this data to generate expressive avatars which we refer to as Emotional Beasts.  ...  First, integration of bio-signal sensors into the HMD and techniques to detect aspects of the emotional state of the user.  ...  The views and conclusions contained herein are those of the authors and should not be interpreted as representing the official policies or endorsements, either expressed or implied, of Samsung.  ... 
doi:10.1145/3027063.3053207 dblp:conf/chi/BernalM17 fatcat:bjvdovxcbndmfmwsfc534rtewi

Emotion Recognition by Integrating Electroencephalography (EEG) and Facial Recognition

2020 International journal of recent technology and engineering  
The gathered EEG information is examined by an autonomous part investigation based component extraction system and ordered utilizing a multilayer neural system classifier into a few control signals for  ...  Profound learning-based FER approaches utilizing profound systems empowering "start to finish" learning are then introduced.  ...  An emotion can be expressed in the form of text, speech or even gestures. In this paper, we will concentrate on the emotions expressed by the face, in particular.  ... 
doi:10.35940/ijrte.a2785.059120 fatcat:emugamr5dzaevoi6yasquqi2lu

Audience Feedback Analysis using Emotion Recognition

Madhura Prakash, Aman Kumar, Anmol Saxena, Somil Agrawal, Twinkle Singh, BNM Institute Of Technology
2020 International Journal of Engineering Research and  
Emotion Recognition is basically reading an individual's mind and present mental state by analysing the facial Expression, body posture and gesture and speech.  ...  The core functionality of the Audience Feedback Analysis Using Emotion Recognition is to capture and analyze the facial expression of every individual sitting in any seminar/talk/lecture/keynote and provide  ...  In-case there is a chance for that device collaborating, on the other hand, the machine learning using AI is effective in doing the job and there is a discussion in investigating human behaviour and working  ... 
doi:10.17577/ijertv9is050717 fatcat:aqfwcr45ofds5pyiknmoeox5by

Computation of emotions in man and machines

P. Robinson, R. el Kaliouby
2009 Philosophical Transactions of the Royal Society of London. Biological Sciences  
The computation of emotions includes both recognition and synthesis, using channels such as facial expressions, non-verbal aspects of speech, posture, gestures, physiology, brain imaging and general behaviour  ...  At the same time, advances in technology mean that it is becoming possible for machines to sense, analyse and express emotions.  ...  Embodied conversational agents express emotions through facial expressions, gaze, body movement and gesture, and voice.  ... 
doi:10.1098/rstb.2009.0198 pmid:19884138 pmcid:PMC2781898 fatcat:4bvm4m4hf5cffi4o2icpsnqvlu

Automatic Recognition of Facial Displays of Unfelt Emotions [article]

Kaustubh Kulkarni, Ciprian Adrian Corneanu, Ikechukwu Ofodile, Sergio Escalera, Xavier Baro, Sylwia Hyniewska, Juri Allik, Gholamreza Anbarjafari
2018 arXiv   pre-print
We show that overall the problem of recognizing whether facial movements are expressions of authentic emotions or not can be successfully addressed by learning spatio-temporal representations of the data  ...  Performance of the proposed model shows that on average it is easier to distinguish among genuine facial expressions of emotion than among unfelt facial expressions of emotion and that certain emotion  ...  Recognizing Facial Expressions of Emotion Automatic facial expression recognition (AFER) has been an active field of research for a long time.  ... 
arXiv:1707.04061v2 fatcat:u4iqlkn5xzavdgdecy5qo5crvy

Multimodal Fused Emotion Recognition about Expression-EEG Interaction and Collaboration Using Deep Learning

Di Wu, Jianpei Zhang, Qingchao Zhao
2020 IEEE Access  
RELATED RESEARCH External features, such as the facial expression, body gesture and voice, are widely used in traditional emotion recognition methods [9] .  ...  The input signal is collected by emotional stimulus from the movie clips corresponding to different emotions. Facial expression detection recognized 4 basic emotion states.  ... 
doi:10.1109/access.2020.3010311 fatcat:jhtmqsqwgfdcph6fparr5ls3tu

Crawling to Improve Multimodal Emotion Detection [chapter]

Diego R. Cueva, Rafael A. M. Gonçalves, Fábio Cozman, Marcos R. Pereira-Barretto
2011 Lecture Notes in Computer Science  
Fusion, combining voice and facial expressions, has been enhanced with semantic information retrieved from Internet social networks, resulting in more accurate determination of the conveyed emotion.  ...  This paper demonstrates multimodal fusion of emotion sensory data in realistic scenarios of relatively long human-machine interactions.  ...  /03995-5) for the collaboration and financial support in this research.  ... 
doi:10.1007/978-3-642-25330-0_30 fatcat:toarhyb42fcwhpwyr3dqmdhkwi

Pervasive Emotions in Pervasive Computing Environments [article]

Vishal Goyal
2010 arXiv   pre-print
Horstmann and Ansorge have shown very recently [98] that dynamic cues are important for facial expression recognition.  ...  In addition, users need to learn how to interpret messages through LED lights, warmth, or vibration.  ... 
arXiv:0912.2479v2 fatcat:shau7xb3tvhcxgsfw5c72fisje

A Brief Review of Facial Emotion Recognition Based on Visual Information

Byoung Ko
2018 Sensors  
Facial emotion recognition (FER) is an important topic in the fields of computer vision and artificial intelligence owing to its significant academic and commercial potential.  ...  Although FER can be conducted using multiple sensors, this review focuses on studies that exclusively use facial images, because visual expressions are one of the main information channels in interpersonal  ...  Interest in automatic facial emotion recognition (FER) (Expanded form of the acronym FER is different in every paper, such as facial emotion recognition and facial expression recognition.  ... 
doi:10.3390/s18020401 pmid:29385749 pmcid:PMC5856145 fatcat:bgggnvgtxval3elk2gkjnkdnga

Emotions in Pervasive Computing Environments [article]

Nevin Vunka Jungum, Eric Laurent
2009 arXiv   pre-print
In this paper, we build on enactive psychology and investigate the incorporation of emotions in pervasive systems.  ...  In addition, we compare some existing works and identify how emotions can be detected and modeled by a pervasive system in order to enhance its service and response to users.  ...  Horstmann and Ansorge have shown very recently [98] that dynamic cues are important for facial expression recognition.  ... 
arXiv:0912.1810v1 fatcat:pvbkncd2trcg3mwba2cphvnwdq
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