scholarly journals Comparison Between Facial Expression Recognition Algorithms - For Effective Method

2020 ◽  
pp. 146-154
Author(s):  
Sonali Singh
Keyword(s):  
Facial Expression ◽  
Human Behavior ◽  
Comparative Studies ◽  
Facial Expression Recognition ◽  
Facial Recognition ◽  
Research Paper ◽  
Expression Recognition ◽  
Recognition Algorithms

Facial expression is an ancient element for identifying humans. Human behavior, thinking or mood can be easily understood through facial expression. At present, facial expression can be evaluated by algorithm based on facial expression AI. In this paper, comparative studies have been done in methods related to facial recognition and an attempt has been made to evaluate it. Previous and recent research paper has been investigated to find out the related effective method.

scholarly journals Evaluation of Classroom Teaching Effect Based on Facial Expression Recognition

2021 ◽  
Vol 5 (12) ◽  
pp. 63-68
Author(s):  
Jun Mao
Keyword(s):  
Facial Expression ◽  
Facial Expressions ◽  
High Precision ◽  
Facial Expression Recognition ◽  
Facial Recognition ◽  
Classroom Teaching ◽  
Traditional Teaching ◽  
Expression Recognition

Classroom is an important environment for communication in teaching events. Therefore, both school and society should pay more attention to it. However, in the traditional teaching classroom, there is actually a relatively lack of communication and exchanges. Facial expression recognition is a branch of facial recognition technology with high precision. Even in large teaching scenes, it can capture the changes of students’ facial expressions and analyze their concentration accurately. This paper expounds the concept of this technology, and studies the evaluation of classroom teaching effects based on facial expression recognition.

scholarly journals Facial Expression Recognition with Appearance Based Features of Facial Landmarks

2021 ◽  
Vol 9 (VI) ◽  
pp. 3343-3348
Author(s):  
Kanaparthi Snehitha
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Facial Recognition ◽  
Local Binary Patterns ◽  
Interpersonal Relation ◽  
Expression Recognition ◽  
Human Machine Interaction ◽  
Artificial Intelligence Technology ◽  
Facial Contours ◽  
Machine Interaction

Artificial intelligence technology has been trying to bridge the gap between humans and machines. The latest development in this technology is Facial recognition. Facial recognition technology identifies the faces by co-relating and verifying the patterns of facial contours. Facial recognition is done by using Viola-Jones object detection framework. Facial expression is one of the important aspects in recognizing human emotions. Facial expression also helps to determine interpersonal relation between humans. Automatic facial recognition is now being used very widely in almost every field, like marketing, health care, behavioral analysis and also in human-machine interaction. Facial expression recognition helps a lot more than facial recognition. It helps the retailers to understand their customers, doctors to understand their patients, and organizations to understand their clients. For the expression recognition, we are using the landmarks of face which are appearance-based features. With the use of an active shape model, LBP (Local Binary Patterns) derives its properties from face landmarks. The operation is carried out by taking into account pixel values, which improves the rate of expression recognition. In an experiment done using previous methods and 10-fold cross validation, the accuracy achieved is 89.71%. CK+ Database is used to achieve this result.

scholarly journals EMOTION EVALUATION FROM FACIAL EXPRESSION RECOGNITION USING AI TECHNIQUES: A Review

2020 ◽  
Author(s):  
Sonali Singh
Keyword(s):  
Artificial Intelligence ◽  
Facial Expression ◽  
Human Behavior ◽  
Facial Expression Recognition ◽  
Primitive Element ◽  
Image Data ◽  
Expression Recognition ◽  
Human Interactions ◽  
Expression Evaluation ◽  
Human Facial Expression

Facial expression is a primitive element for human interactions. To understand human behavior or mood, it is essential to analyze human facial expression from multidimensional sensitive and feeling image data. Various Artificial Intelligence based techniques are used for facial expression evaluation. In this paper an attempt has been done to Facial expression recognition & emotion evaluation. Previous and recent researches have been investigated to find out the related effective method

scholarly journals Enhancement of Patient Facial Recognition through Deep Learning Algorithm: ConvNet

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Edeh Michael Onyema ◽  
Piyush Kumar Shukla ◽  
Surjeet Dalal ◽  
Mayuri Neeraj Mathur ◽  
Mohammed Zakariah ◽  
...  
Keyword(s):  
Deep Learning ◽  
Facial Expression ◽  
Facial Expressions ◽  
Facial Expression Recognition ◽  
Learning Algorithm ◽  
Facial Recognition ◽  
Computational Cost ◽  
Machine Learning Algorithms ◽  
Expression Recognition ◽  
Deep Learning Algorithm

The use of machine learning algorithms for facial expression recognition and patient monitoring is a growing area of research interest. In this study, we present a technique for facial expression recognition based on deep learning algorithm: convolutional neural network (ConvNet). Data were collected from the FER2013 dataset that contains samples of seven universal facial expressions for training. The results show that the presented technique improves facial expression recognition accuracy without encoding several layers of CNN that lead to a computationally costly model. This study proffers solutions to the issues of high computational cost due to the implementation of facial expression recognition by providing a model close to the accuracy of the state-of-the-art model. The study concludes that deep l\earning-enabled facial expression recognition techniques enhance accuracy, better facial recognition, and interpretation of facial expressions and features that promote efficiency and prediction in the health sector.

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