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Final expression classification based on pseaudo zernike moment invariant, zernike moment invariant, principal component analysis and radial basis function neural network

Trần Bình Long, Trần Hanh
2012 Journal of Computer Science and Cybernetics  
and then Radial Basis Function (RBF) Network is employed to classify the facial expressions based on the features which had been already extracted by PZMI, ZMI, PCA.  ...  In our method, first Pseudo Zernike Moment Invariant (PZMI), Zernike Moment Invariant (ZMI) and Principal Component Analysis (PCA) are used to extract features from the global information of the images  ...  INTRODUCTION Facial expressions deliver rich information about human emotions, and thus play an essential role in human communications.  ... 
doi:10.15625/1813-9663/27/3/485 fatcat:guf2ab645fcxfkac7vteut4nqq


2008 International journal of pattern recognition and artificial intelligence  
Facial expression recognition has recently become a promising research area. Its applications include human-computer interfaces, human emotion analysis, and medical care and cure.  ...  The recognition rate of this method is 95.71% by using leave-one-out strategy and 94.13% by using cross-validation strategy. It takes only 0.0357 second to process one image of size 256 × 256.  ...  Tables 3 and 4 , we show performance comparisons of using PCA, LDA, 2D-PCA, ICA and 2D-LDA with SVM and RBFN.  ... 
doi:10.1142/s0218001408006284 fatcat:tx3wugbr6bglfnb6uzakdjeytu

A Survey on Human Face Emotion Recognition Techniques

Ms. Uttama Suryavanshi
2019 International Journal for Research in Applied Science and Engineering Technology  
Consequently, there is ostensible need of dependable recognition and recognition of human facial expressions.  ...  The assignment of consequently perceiving distinctive Facial appearances in human-PC environment is huge and challenging.  ...  The techniques used in past detect Human Facial expression and recognize them on the basis of accuracy and computational time and different algorithms.  ... 
doi:10.22214/ijraset.2019.5064 fatcat:qe2xlnlhxjexho65kzcvo5qyey

A Novel Hybrid Method for Face Recognition Based on 2d Wavelet and Singular Value Decomposition

Vahid Haji Hashemi
2015 American Journal of Networks and Communications  
An efficient face recognition system using eigen values of wavelet transform as feature vectors and radial basis function (RBF) neural network as classifier is presented.  ...  The proposed method on Essex face database and results showed that the proposed method provide better recognition rates with low computational complexity.  ...  or different facial expressions.  ... 
doi:10.11648/j.ajnc.20150404.12 fatcat:uuptajebmzgtfpfvxlu4ovwure

Face Spoof Detection System Based on Genetic Algorithm and Artificial Intelligence Technique: A Review

Diksha Anand, Kamal Gupta
2018 International Journal of Advanced Research in Computer Science and Software Engineering  
In today's era, face recognition method is widely used to authenticate the face (like for unlocking mobile phones etc.) and providing access to the services or facilities but some intruders use various  ...  So the choice of the technique to detect the face spoofing attack should be accurate and highly efficient.  ...  Hybrid Methods: Hybrid face recognition systems use a grouping of both holistic and feature extraction methods. An usually 3D Images are used in hybrid methods.  ... 
doi:10.23956/ijarcsse.v8i6.722 fatcat:egk7icu4nnev7apfybf4fveyuq

Automatic Multiface Expression Recognition Using Convolutional Neural Network

Padmapriya K.C., Leelavathy V., Angelin Gladston
2021 International Journal of Artificial Intelligence and Machine Learning  
The human facial expressions convey a lot of information visually. Facial expression recognition plays a crucial role in the area of human-machine interaction.  ...  Automatic facial expression recognition system has many applications in human behavior understanding, detection of mental disorders and synthetic human expressions.  ...  The objective of this work is to enhance the automatic facial expression recognition which can take human facial images containing some expression as input and recognize and classify it into seven different  ... 
doi:10.4018/ijaiml.20210701.oa8 fatcat:tbzf3jvbwnahhkr6ynuxn4bpza

Radial basis function neural networks: a topical state-of-the-art survey

Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho
2016 Open Computer Science  
AbstractRadial basis function networks (RBFNs) have gained widespread appeal amongst researchers and have shown good performance in a variety of application domains.  ...  In addition, we have considered the recent research work on optimization of multi-criterions in RBF networks and a range of indicative application areas along with some open source RBFN tools.  ...  [176] have developed an RBF architecture that learns the correlation of facial feature motion patterns and human expressions.  ... 
doi:10.1515/comp-2016-0005 fatcat:wm2ik77fi5ca7hbq66ssrnssr4

A Survey on Classical and Modern Face Recognition Techniques

M. ShalimaSulthana, C. NagaRaju
2021 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
As a final point, this research explores the future of facial recognition technologies and their possible importance in the emerging digital society.  ...  This research, the primary goal is to summarize modern facial recognition algorithms and to gain a general perceptive of how these techniques act on diverse datasets.  ...  Recognition and classification of facial expressions can be used to improve communication between man and machine.  ... 
doi:10.32628/cseit21762 fatcat:ihjeygme6fem3bkas2nalzkywe

Gesture Recognition: A Survey

Sushmita Mitra, Tinku Acharya
2007 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
Gesture recognition pertains to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body.  ...  In this paper, we provide a survey on gesture recognition with particular emphasis on hand gestures and facial expressions.  ...  A hierarchical system of RBFN has been used for facial expression (gesture) recognition [30] .  ... 
doi:10.1109/tsmcc.2007.893280 fatcat:iywyfj465zgfnp4n2o7usgcsne

Classification of Log-Polar-Visual Eigenfaces using Multilayer Perceptron [article]

Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri, Mahantapas Kundu, Dipak Kumar Basu
2010 arXiv   pre-print
In this paper we present a simple novel approach to tackle the challenges of scaling and rotation of face images in face recognition.  ...  In case of ORL face database, recognition rate for visual face images is 89.5% and that is increased to 97.5% for log-polar-visual face images whereas for OTCBVS face database recognition rate for visual  ...  -700 032 and Department of Computer Science and Engineering, Tripura University, Tripura, for providing the necessary facilities for carrying out this work.  ... 
arXiv:1007.0636v1 fatcat:hxqwlnys7rdzxkfyw25eg6nree

Modeling of Speech Recognition Using Artificial Neural Network

This paper unveils the importance of neutral network and the way it can be used for recognition of speech.  ...  Automatic speech recognition has attained a lot of significance as it can act as easy communication link between machines and humans.  ...  Human to human communication is done using more than one mode of communication like speech, eye gaze, hand gestures, facial expressions and body gestures.  ... 
doi:10.35940/ijitee.i7516.078919 fatcat:rpdnqvpbavcdvnxfjvmae5pxzm

A Survey of Autonomous Human Affect Detection Methods for Social Robots Engaged in Natural HRI

Derek McColl, Alexander Hong, Naoaki Hatakeyama, Goldie Nejat, Beno Benhabib
2015 Journal of Intelligent and Robotic Systems  
Human-affect detection from facial expressions, body language, voice, and physiological signals are investigated, as well as from a combination of the aforementioned modes.  ...  This survey paper presents an encompassing review of existing automated affect recognition and classification systems for social robots engaged in various HRI settings.  ...  Acknowledgments This work was funded by the Natural Science and Engineering Research Council of Canada (NSERC) and the Canada Research Chairs (CRC) Program.  ... 
doi:10.1007/s10846-015-0259-2 fatcat:szdkrmfx7jf3fhfeilfpirxhku

Progress on Artificial Neural Networks for Big Data Analytics: A Survey

Haruna Chiroma, Usman Ali Abdullahi, Shafi'i Muhammad Abdulhamid, Ala Abdulsalam Alarood, Lubna A. Gabralla, Nadim Rana, Liyana Shuib, Ibrahim Abaker Targio Hashem, Dada Emmanuel Gbenga, Adamu I. Abubakar, Akram M. Zeki, Tutut Herawan
2019 IEEE Access  
Artificial neural networks (ANNs) are known for their effectiveness and efficiency for small datasets, and this era of big data has posed a challenge to the big data analytics using ANN.  ...  INDEX TERMS Big data analytics, artificial neural networks, evolutionary neural network, convolutional neural network, dataset.  ...  heterogeneity activity recognition, smartphone-based recognition of human activities and postural transitions (SRHAPTD), and heterogeneity human activity recognition (HHAR).  ... 
doi:10.1109/access.2018.2880694 fatcat:jnmfnyjaevczddtskwtf64ltti

A review and meta-analysis of machine intelligence approaches for mental health issues and depression detection

Ravita Chahar, Ashutosh Kumar Dubey, Sushil Kumar Narang
2021 International Journal of Advanced Technology and Engineering Exploration  
An increase of 11% from the previous year was noted in the US alone due to the COVID-19 pandemic [6, 7] . The best way to detect depression is to analyze the behavior of the person.  ...  and competitive markets, and biological factors [5, [8] [9] [10] .  ...  Human-to-human interaction is dwindling whereas human-to-device interaction is increasing [32] . Depression detection can also be performed by reading facial expressions.  ... 
doi:10.19101/ijatee.2021.874198 fatcat:bhrusmlbdrdvfkcnob4ueowaam

Machine Learning from Theory to Algorithms: An Overview

Jafar Alzubi, Anand Nayyar, Akshi Kumar
2018 Journal of Physics, Conference Series  
The Perceptron learning algorithm, Back-propagation algorithm, Hopfield Networks, Radial Basis Function Network (RBFN) are some popular algorithms.  ...  Naïve Bayes' to analyze status update expressing positive and negative emotions. • Document Categorization: Google uses Naïve Bayes algorithm for document categorization. • K-means clustering is used  ... 
doi:10.1088/1742-6596/1142/1/012012 fatcat:jrflgi4yvjgdzb74ztjkavdusa
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