Fig. 1.1 Universal Emotions
Most of the developed methods try to recognize the basic expressions and some attempts at recognizing non-basic expressions. However, there have been very few attempts at recognizing the temporal dynamics of the face. Temporal dynamics denotes to the timing and time length of facial actions. The significant terms that are used in joining with temporal dynamics are: onset, apex and offset. These are known as the temporal segments of an expression [40]. Onset is the instance when the facial expression starts, apex is the point when the expression is at its peak and offset is when the expression fades away (start-of-offset is when the expression starts to fade, and the end-of-offset is when the expression completely fades out). Similarly, onset-time is defined as the time taken from start to the peak, apex-time is defined as the complete time at the peak and offset-time is defined as the total time from a peak to the stop. Pantic and Patras have reported successful recognition of facial AUs and their temporal segments [2]. By doing so, they have been able to recognize a much larger range of expressions.
Another very important type of expression classification is ‘posed’ and ‘spontaneous’. Posed expressions are the artificial expressions that a subject will produce when he or she is requested to do so. This is commonly the case when the subject is under normal test condition or under observation in a laboratory.
In contrast, natural expressions are
We applied ZFace \cite{jeni2015dense}, which is a person-independent tracker, in each video to detect the face and obtain 49 facial landmark points. The tracker outputs the 49 points' coordinates as well as a failure message to indicate the failure frames; those frames were excluded from further analysis. For each frame, we used the detected points to register and crop the infant's exact face region. We applied the tracker in 200 videos to detect the face and the landmark points.
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 .
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.
| 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 current study examined how different races and sexes influenced stereotypical perceptions about the car locking behaviors of a driver. (The Current study examined different races and sexes stereotypical perceptions' about a driver's car looking behavior). Previous research has found that behaviors are monitored closely during interracial interactions because of a fear of another using stereotypes (Alexander et. al, 2012). In a 2 (pedestrian race: black vs. white) X 2 (pedestrian sex: male vs. female) design (driver was held constant across all conditions), we hypothesized that male pedestrians would be viewed as more threatening than females, and black pedestrians would be viewed as more threatening than white pedestrians. We further hypothesized that the race and sex of the pedestrian would influence participants’ perceptions of the motivation behind the driver’s car locking behavior. Facial expressions of emotions were recorded while participants watched the video using the Facial Action Coding System (FACS; Ekman & Friesen, 1978) to examine differences in responses to the video.
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,
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).
Expression in speech is an important part of everyday communication, however these are often very difficult for them to understand & grasp. These can include facial expressions, but almost certainly jokes
They are different way to try to understand other people, looking at signs like facial expressions, attitudes and emotions for example. Facial expressions of emotions are when one part of the face registers one emotion and the other a different emotion.
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
Through this routine of advanced technology analysis, it has been established to increase the results and have hastened the procedure of identifying suspects of crimes. Facial recognition is also necessary for public involvement and observation as it also aids law enforcement officials to more easily zone in on possible suspects of a crimes being caught. With the use of facial recognition, it constantly has been proven quite an effective method with the incorporation of this technique.
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
Face Shape is an important subject when it comes to helping make people confident and making decisions on the right frames. Face shape play a part with people beauty and characteristics. Everyone in the world have different face shape, face shape is broken down into basic shapes: Square, Long(Oblong), Round, Triangle, Inverted Triangle, Diamond, Oval, Heart shaped faces.
The last analysis is facial expression. In most cases it is easy to see what kind of emotion someone is feeling by the look on their face. Eyes are very good way to see how someone is feeling, because you can see happiness, sadness and anger in their eyes. Each of the basic emotions is clearly defined just by looking at someone. There are many different emotions that are expressed just by looking at someone. The basic emotions are obvious, but there are other emotions like guilt, pride, worry and excitement that are seen as well. It is amazing how easy it is sometimes to read peoples emotions. (2010
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