Proceedings ArticleDOI
Facial emotion recognition system through machine learning approach
Renuka S. Deshmukh,Vandana Jagtap,Shilpa Paygude +2 more
- pp 272-277
TLDR
The aim of this research is to develop automatic facial emotion recognition system for stressed individuals thus assigning them music therapy so as to relief stress.Abstract:
Data mining also sometimes called data or knowledge discovery is the process of analyzing data from different perspectives and summarizing it into useful information. Image processing is related to Computer vision, which is a high-level image processing out of which a machine/computer/software intends to decipher the physical contents of an image or a sequence of images. One of the ways to do this is by comparing selected facial features from the image and a facial database. Recognizing emotion from images has become one of the active research themes in image processing and in applications based on human-computer interaction. This research conducts an experimental study on recognizing facial emotions. The flow of our emotion recognition system include the basic process in FER system. These include image acquisition, preprocessing of an image, face detection, feature extraction, classification and then when the emotions are classified the system assigns the user particular music according to his emotion. Our system focuses on live images taken from the webcam. The aim of this research is to develop automatic facial emotion recognition system for stressed individuals thus assigning them music therapy so as to relief stress. The emotions considered for the experiments include happiness, Sadness, Surprise, Fear, Disgust, and Anger that are universally accepted.read more
Citations
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Journal ArticleDOI
Kriging Predictor for Facial Emotion Recognition Using Numerical Proximities of Human Emotions
TL;DR: It has been ascertained that the kriging predictor is suitable for facial emotion recognition in the case of small sets of pictures, and the accuracy of classification into seven classes has been obtained approximately 50%, if the authors make a decision on the basis of the closest basic emotion.
Journal ArticleDOI
Facial emotion recognition using convolutional neural networks
Ketan J. Sarvakar,R. Senkamalavalli,S. Raghavendra,J. Santosh Kumar,R. Manjunath,Sushma Jaiswal +5 more
TL;DR: A system that perceives understudies' feelings from their appearances that is prepared to break down pictures and understand face feeling using a convolutional neural networks model.
Journal ArticleDOI
Facial emotion recognition using convolutional neural networks
TL;DR: In this article , a double-level convolutional neural network (FERC) is used to detect face emotion. But, it is not suitable for the detection of facial expressions.
Proceedings ArticleDOI
“I Am Told to Be Happy”: An Exploration of Deep Learning in Affective Colormaps in Industrial Tomography
Yuchong Zhang,Morten Fjeld +1 more
TL;DR: In this article, the authors explored how to effectively exploit deep learning in affective colormaps within the domain of industrial tomography, and proposed a convolutional neural network (CNN) consisting of 10 layers reached high recognition and prediction accuracy in the colormap-affect relationship.
Journal ArticleDOI
Affective computing in the context of music therapy: a systematic review
Maíra Araújo de Santana,Clarisse Lins de Lima,Arianne Sarmento Torcate,Flávio Secco Fonseca,Wellington Pinheiro dos Santos +4 more
TL;DR: A systematic review of the literature in the field of affective computing in the context of music therapy is presented in this paper, where the authors assess AI methods to perform automatic emotion recognition applied to Human-Machine Musical Interfaces (HMMI).
References
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Journal ArticleDOI
The Indian Spontaneous Expression Database for Emotion Recognition
TL;DR: A new facial expression database containing spontaneous expressions of both male and female participants of Indian origin is proposed and established, which will help in the development and validation of algorithms for recognition of spontaneous expressions.
Journal ArticleDOI
A Survey on Human Emotion Recognition Approaches, Databases and Applications
C. Vinola,K. Vimaladevi +1 more
TL;DR: This paper presents the various emotion classification and recognition systems which implement methods aiming at improving Human Machine Interaction, and describes the databases that can be used as standard data sets in the process of emotion identification.
Journal ArticleDOI
Emotion Recognition System by a Neural Network Based Facial Expression Analysis
Damir Filko,Goran Martinović +1 more
TL;DR: The proposed system for human emotion recognition by analyzing key facial regions using principal component analysis and neural networks showed promise for future development and has been trained and tested on the FEEDTUM database.
Journal ArticleDOI
A Human Facial Expression Recognition Model Based on Eigen Face Approach
TL;DR: In this research, a human facial expression recognition system is modelled using eigenface approach and the HSV (Hue-Saturation-Value) colour model is used to detect the face in an image.
Proceedings ArticleDOI
Beihang University Facial Expression Database and Multiple Facial Expression Recognition
Yu-li Xue,Xia Mao,Fan Zhang +2 more
TL;DR: The Beihang University facial expression database is provided, which includes 25 facial expressions (18 pure facial expressions, 3 mixed facial expressions and 4 complex facial expressions) and provides data of many unique emotional facial expressions not appeared in other face databases.
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