The Emotional Analysis Of Video Analytics

Facial expressions -The human face is extremely expressive, able to express countless emotions without saying a word. And unlike some forms of nonverbal communication, facial expressions are

Facial Expression: The facial expression such as happiness, sadness, anger and fear helps a lot in conveying a message. These facial expressions are similar all over the world but non- verbal communication and behaviour varies hugely between the cultures in the world.Since the look on a person’s face is noticed , before we hear ,facial expression contributes a lot in a successfully non-verbal communication .

In the present contemporary era, facial recognition technologies are being installed by the companies in an extensive sense that surely reflects a continuum of growing hi-tech superiority and complexity. At the most ordinary level, facial detection is done by this technology which means that a photo is just detected and located for a face ("Facing Facts: Best Practices for Common Uses of Facial Recognition Technologies," 2012).

His findings helped psychologist gain knowledge in how facial expressions play an important part in human interactions. His work helps doctors identify when patients are being deceitful and prevent them from harming themselves in the future. Today, Ekman continues to be an influential leader in the field of psychology. He has developed training programs to help people decipher people’s emotions, help people enhance their relationships with others and help people develop a sense of empathy for others. In addition to his work Ekman is an active consultant on emotional expression to judges, lawyers, government agencies such as the FBI and CIA.

For my term project, I would like to build a program that has the capabilities to judge people’s moods based on their current facial expressions. My project would need user’s to have a webcam or an external camera. In addition, this project requires users to follow certain guidelines to ensure that the project works properly. Users must be in a well-lit area, do not cover their face, and are not wearing anything over their eyes, mouth, and face. Upon following these guidelines, my project will use the user’s eyes and mouth to determine their mood. The five moods that my program will be able to recognize are happy, sad, calm neutral, fear/stress, and angry/disgust.

| Facial expressions – Facial expression reveals a great deal about our feelings. A blank facial expression makes it much harder to interpret what is being said and makes it harder for the service user to understand the nature of the conversation.

The face recognition model developed by Bruce and Young has eight key parts and it suggests how we process familiar and unfamiliar faces, including facial expressions. The diagram below shows how these parts are interconnected. Structural encoding is where facial features and expressions are encoded. This information is translated at the same time, down two different pathways, to various units. One being expression analysis, where the emotional state of the person is shown by facial features. By using facial speech analysis we can process auditory information. This was shown by McGurk (1976) who created two video clips, one with lip movements indicating 'Ba' and other indicating 'Fa'. Both clips had the sound 'Ba' played over the clip.

1. Perceiving Emotions: This involves understanding nonverbal signals such as body language and facial expressions and perceiving them accurately.

Most people are surprised to learn exactly how much information they communicated about themselves through their facial expressions. The intricacies of what one does with their the eyes, eyebrows, forehead, lips, tongue, teeth, and mouth while listening or talking combine to send some

Facial recognition is a technology that recognizes individuals by comparing facial characteristics and specific patterns thus mimicking the function of human brain. It measures the overall facial structure, including distance between eyes, nose, mouth, and jaw edges (1). These measurements are than stored in a database for future use. As the cost of facial recognition software has decreased, its use has grown popular in different fields.

The cognitive level of analysis aims to study the inner process of the mind and how our behaviour is affected by cognitive processes.Emotion have been investigated in terms of biological and cognitive influences and it is a phenomena that may include a sentimentality,romantic reading or a love story, an explosive tantrum or blushing at a public speaking it is a fast process, triggered by an event that generates a consistent emotional response to several factors influenced by our lives.Emotions can be affected by a vast amount of things such as:preferences , motivations , moods , passions , emotional styles , desires or impulses .Emotion is all about how do our body interacts with certain types of situations.There is a range of emotions such

“recognize complex emotions” (Chen 2010 p. 205). At the moment research is limited to young individuals but the multitouch tabletop technology is suitable for adults (Chen 2010).

Analyzing research methods used for uncovering basic emotions applied to the Cannon-Bard emotion theory and Drive reduction arousal theory. The Cannon-Bard theory of emotion is a stimulating event takes place, emotional, and physiological changes occur (Changing Minds, 2010). A person may feel muscular tension as well as sweating to the situation. A research method associated with the Cannon-Bard emotion theory would be the evolution theory. This method is an idea where emotion aids species survival (Decker, 2010). An example: A person is hiking through the woods approaches a snake. The appearance of the snake evokes fear, which in return causes the emotional experience. Fear produces behavior and emotion to run, muscular tension, or possibly cry. The emotion evoked by the predator or event causes the survival. The Drive reduction arousal theory is an approach to motivation that assumes behavior arises. Arousal is the source of emotions. Second, arousal is the impetus for attending to

Bruce and Young’s theory of recognition tells us that human’s extract several kinds of information from faces; and that there are eight different components of such information. Such as structural encoding, expression analysis, facial speech analysis, directed visual processing, face recognition nodes,

Automatic face recognition has always been a major focus of research for a few decades, because of numerous practical applications where human identification is needed. Compared to other methods of identification (such as fingerprints, voice, footprint, or retina), face recognition has the advantage of its non-invasive and user friendly nature. Face images can be captured from a distance without interacting with the person, which is particularly beneficial for security and surveillance purposes. Furthermore, extra personal information, like gender, face expressions or age, can be obtained by further analyzing recognition results. Nowadays, face recognition technology has been widely applied to public security, person verification, Internet