Emotion Detection Using Sobel Filtering And Retrieving With Sparse Code Words

The tone of voice used and facial expressions can show concern, disbelief, boredom, irritation and all other emotions.

There are several basic channels in which emotions can be communicated. These channels can be classified as non-verbal communication and verbal communication. Examples of non-verbal communication can include facial expressions, eye contact, paralinguistics, and body language/movements. Non-verbal communications, however, are more difficult to analyze. (Mehrablan, 1972) Facial expressions are the first thing we see when we look at a person. If some is smiling, one could assume that the person is happy. If someone is frowning, the person is most likely feeling sad. Paralinguistics basically is the way something is said. This includes things like tone

| 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.

Emotions are a necessary part of our whole humanity. They may be more than we have learned to be comfortable with, but they are not too much.

People are shaped into individuals through many defining attributes – from the way we communicate and the way we express ourselves to a person’s morals and ethics. Coincidentally, these are all linked through one major omniscient trait – emotions. Emotions contain a wide spectrum of subcategories, but these can basically be broken down into the two elementary divisions: happiness and sadness. These ups and downs are crucial for people to be themselves; to have their own stories and experiences to tell.

The perception of emotions is an important topic to study because the ability to discern emotions plays a critical role in an individual 's cognitive growth, their reasoning, behavior idiosyncrasies and the essential key of survival. Perception is the a central element to emotions, meaning that countless emotions that an individual faces occur directly upon the perception of intensely expressive to a certain stimuli. We are aware that our mood affects how we perceive the emotions of those in our surroundings and the environments we are in, but also age has a big impact as well.

For this project we will be testing fifty test subjects on six pictures of the same person representing the six core emotions the people will be trying to identify the emotion that the person's facial expressions are representing. Unlike regular facial expressions that are pro longed micro facial expressions cannot be faked and they often appear and disappear as fast as 1/15 to 1/25th of a second. The face is best indicator of a person's emotions. Dr. Paul Ekman has done groundbreaking research on micro facial expressions. He has shown that facial expressions are universal and people everywhere in the world make and display the same emotions through the same facial expressions like people in the US make the same facial expressions for sadness as people in Papua New Guinea. Dr.Ekman also realized through his research that even blind people who have never seen a humans face in their whole life have the same facial expressions as people who have their vision for each emotion. There are six universal micro expressions : disgust , anger , fear , sadness , surprise , and happiness. It's important to be able to read these six basic facial expressions because if you can determine what a person's emotions are it can help you

Understanding your emotion is a huge thing. Emotions originally helped us survive by producing reactions in are brain to threats, reward and everything in the environment in the moment. Emotions are a part of

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

To perform facial recognition tasks, the accuracy of facial point detectors used is of the utmost importance but since facial features vary, it is important to validate facial point detectors across different facial expressions. \cite{NEEDED}\cmt{[1152]}, \cite{NEEDED}\cmt{[1162]}.

example, we can judge a persons emotion from their body language. If they are slumped looking

The biological and psychical changes that stem from strong and commonly experienced emotions in individuals are the different facial expressions and heart rate. Individuals facial expressions can tell someone exactly what that person is feeling, and is one of the main types of communication people use in everyday conversation. Facial expressions are controlled by the pyramidal and extrapyramidal motor systems in the brain. Each of these systems control whether an individual will produce a voluntary smile to respond to a boring story, or create a genuine smile that comes from happiness. Individuals facial expressions help reflect the strong emotions that someone is experiencing. Someone's heartbeat also expresses the intense emotions people

Emotions are experienced in the present. After accurately identifying a feeling it can be quickly labeled, which allows the appropriate behavior to be chosen.

Emotion and Attention Recognition Based on Biological Signals and Images attempts to introduce the different approaches and technologies for recognition of emotion, stress and attention, from a historical development, focusing particularly on the recent development of the field and its specialization within psychology, cognitive

and can choose the scale,rotation and translations. FaceGen Modeller runs on Windows XP,Vista,7 and 8.Pantium 4 is highly recommended Operating system though.Generic & frequent human faces: Happiness, Anger, Fear, Surprise, Disgust and Sadness. Using Facial Action coding system(FACS),human coders can manually code nearly any possible expression to look photo realistic. Application is written in java programming language and use the SQL databases at the backend. FACS describes total 66 muscle actions.In Facial Action coding system(FACS),Action Unit(A.U.) are associated with the action descriptors,which in combination give rise to the facial expressions.For example, Action unit no.6 and Action unit no.12 together in combination create an expression for happiness. An action descriptor associated with Action unit no.6 is cheek raiser and Action unit no. 12 is a lip corner