Study on Different Human Emotions Using Back Propagation Method

With fast evolving technology, Cognitive Science plays a vital role in our day-to-day life. Cognitive science is summed up as the study of mind based on scientific methods. It is all about the sum of all interdisciplinary like philosophy, psychology, linguistics, artificial intelligence, robotics, and neuroscience. In this paper, I focused on the facial expressions or emotions of human being as it has an important role in interpersonal relations. Without verb communication, one can imagine the mood of a person by expressions. In this method, we use back propagation neural network for implementation. It is an information processing system that has been developed as a generalization of the mathematical model of human recognition. Introduction Science has made great strides in our understanding of the external observable world called as “outer space” .Physics revealed the motion of the planets, chemistry discovered the fundamental elements of matter, biology has told us how to understand and treat disease. But during much of this time, there were still many unanswered questions about something perhaps even more important to us. That something is the human mind. What makes mind so difficult to study, it is not something we can easily observe, measure, or manipulate. In addition, the mind is the most complex entity in the known universe. Unlike the science that came before, which was focused on the world of external, observable phenomena, or “outer space,” this new endeavor turns its full attention now to the discovery of our fascinating mental world, or “inner space.”The study of inner space is termed as “cognitive Science “. Cognitive science is study of mind through which we can judge the emotions of human being. Human beings are capable of producing millions of facial expression as human can interact not only using verbal languages but also non-verbal languages such as gestures & facial expressions or emotions. Face expressions refers to the changes in face with respect to their inner sense ,intentions & facial feature(nose ,eyes, mouth).Face recognition involves the comparison of an image with a database of stored faces or given data base of a face to produce the original identity of the input image. There are so many methods which exploit different concepts to determine facial emotions of human being .However developing a system with various human ability has been difficult & complex task nowadays .Because it is very difficult to imitate artificial system of human brain. . Human brain is the most intellectual & complex system in the world. It consists of the most important thing called processing element, the neurons. A neural network is a powerful tool used to perform pattern recognition and other intelligent tasks inspired by the working of a human brain. It is a learning mechanism. The pattern recognition refers to the process of distinguishing the patterns into a set of predefined data based on observations of the network. It is used in the area of biometrics, medical diagnosis, face detection, image processing, system security etc .There are numerous methods used for pattern recognition depending upon the type of pattern. It includes statistical approach, structural approach, hybrid approach, template matching and the last but not the least neural network approach. In the first, the statistical approach, a pattern is formed of fixed length in a dimensional space. Here the pattern formed using the probability distribution function. In the second, the structural approach – a pattern is formed as the collection of sub patterns and the interconnections among the sub patterns are defined here. In the third, the hybrid approach is the combination of above two kinds used at appropriate stage in pattern recognition. The last approach is the most important and flexible method with many advantages compared to other approaches. i.e, the neural network approach based on the concept of neurons and the interconnections among the neurons. It is basically based on human perception. There are various algorithms NOVATEUR PUBLICATIONS INTERNATIONAL JOURNAL OF INNOVATIONS IN ENGINEERING RESEARCH AND TECHNOLOGY [IJIERT] ISSN: 2394-3696 VOLUME 1, ISSUE 2 DEC-2014 2 | P a g e based on this approach: Feed forward network, Self Organizing Map(SOM) , Radial basis function network and Back Propagation network used for different pattern identification & classification. In the recent years, tremendous improvement has been done in the areas of face recognition with the help of many techniques.Fig.1shows the block diagram of face recognition technique: Fig.1.Face Recognition Technique In this paper, I introduce a robot which can perceive human gestures/emotion/feelings. Human beings have different emotions such as happy, sad, angry, joy, disgust, fear, surprise, serious, thinking etc .suppose if a person is laughing, then the robot will laugh. or if a person is angry ,then the robot will show the anger by some symbol as predefined in the concept .For this ,I adopt the neural network approach as it has better performance and high efficiency as compared to different approaches. The work of face recognition is to find the exact identity of an unknown image against a database of face models .For the implementation, back propagation neural network is used .Back propagation method is an information processing system developed from the mathematical model of human recognition. This paper consists different section. Section I gives the introduction of the paper ,section II involves literature survey, section III involves methodology, section IV gives the idea about neural network ,section V about back propagation method then section VI about the comparison about different methods of neural network ,Section VII about the experimental results ,Section VIII about the conclusion and section IX gives about the reference of different paper. .