Human Behavior Understanding in Big Multimedia Data Using CNN based Facial Expression Recognition

2019 ◽  
Vol 25 (4) ◽  
pp. 1611-1621 ◽  
Author(s):  
Muhammad Sajjad ◽  
Sana Zahir ◽  
Amin Ullah ◽  
Zahid Akhtar ◽  
Khan Muhammad
Keyword(s):  
Facial Expression ◽  
Human Behavior ◽  
Facial Expression Recognition ◽  
Multimedia Data ◽  
Expression Recognition ◽  
Behavior Understanding ◽  
Human Behavior Understanding ◽  
Big Multimedia Data

scholarly journals Automatic Multiface Expression Recognition Using Convolutional Neural Network

2021 ◽  
Vol 11 (2) ◽  
pp. 1-13
Author(s):  
Padmapriya K.C. ◽  
Leelavathy V. ◽  
Angelin Gladston
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
Recognition Rate ◽  
Recognition System ◽  
Expression Recognition ◽  
Human Machine Interaction ◽  
Behavior Understanding ◽  
Human Behavior Understanding ◽  
Expression Classification ◽  
Machine Interaction

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. Recognition of facial expression by computer with high recognition rate is still a challenging task. Most of the methods utilized in the literature for the automatic facial expression recognition systems are based on geometry and appearance. Facial expression recognition is usually performed in four stages consisting of pre-processing, face detection, feature extraction, and expression classification. In this paper we applied various deep learning methods to classify the seven key human emotions: anger, disgust, fear, happiness, sadness, surprise and neutrality. The facial expression recognition system developed is experimentally evaluated with FER dataset and has resulted with good accuracy.

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 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

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