Facial expression

Paul Ekman is the scientist who started the facial expression movement, he discovered the six basic emotions happy, sad, anger, disgust, fear and surprised in which he says are universal. He used the Facial Action Coding System which is a system to code facial expressions. Many use the FACS in test related to emotional expressions such as for kids, adults and those who have a psychological disorder. The six basic emotions and others are coded with Action Units that are muscle or muscle groups that

communication that we all do and have done, but I do not think that people realize just how many aspects there are to demonstrative communication. Demonstrative communication is nonverbal and unwritten communications that involve such aspects of facial expressions, tone of voice and body language. When you think of communication, you automatically think of someone having a verbal conversation with another person, but that is not always the case. Communication like demonstrative is nonverbal and unwritten;

reading one can learn to do, which is reading facial expressions and tones of voices of close family. I argue that reading tones of voices and facial expressions is more important than being able

communication varies based on a person’s cultural background, more so in the individualism-collectivism dimension. Additionally, studies have indicated that intercultural diversities in how verbal communications are observed can be traced to differences in facial signs that individuals from West and East look for when detecting emotions (Serlin, Berger & Bar-Sinai, 2007). Therefore, people from distinctive cultures are expected to be taught to express their feeling via clear indications, although those from

IV. PROPOSED SYSTEM A. Block diagram Fig 3: Block Diagram of Proposed System B. Proposed system In mostly emotion recognition system use Principal Component Analysis (PCA) algorithm for detection. However, in that detection of action unit not done properly so it has some limitation. Recognizing emotion from ensemble of features uses patch descriptors like histogram of oriented gradients, local binary patterns and scale invariant feature transform. It has two outcomes one is person specific

One of the areas studied in psychology is the use of Non-Verbal Communication (NVC). According to the Collins dictionary, this is defined as ‘those aspects of communication, such as gestures and facial expressions, that do not involve communication, but which may include non-verbal aspects of speech itself (accent, tone of voice, speed of speaking, etc)’. Used daily by humans and animals (Darwin 1972), NVC has a strong link to innate factors, and messages are sent unconsciously to the listener. Through

The three non-verbal communication techniques to maintain relationships 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 . Gestures: Gestures

array of interpretation, while effectively striking a harmonious balance between the viewer and subject in regards to relatability. Josef Albers Marli Heimann, All During an Hour (1931) serves as a perfunctory representation in his showcase of human expression, allowing for an intimate look into Albers’ personal connection with his subject through a mechanical mode of production. Albers photograph [Figure 1] of

Introduction The relationship between mother and infant is extraordinary. A lot of research has been done to test the social stresses on dyadic synchrony on mothers and infants as well as toddlers and pre-teens. This article extends on previous research on FFSF exposures by observing not only the social interactions of the mother and infant from face-face interactions but also by still face pictures. Also, assessing the infant’s interactive style, the mother’s behavior and dyadic synchrony in observing

Human Face Expression Capture and Virtualization on iPhone Jixian Ma Abstract—This paper purposes to implement iOS class CIImage into a face detection and human face expression capture and virtualization. With the front camera on iPhone, we are able take photos and record real-time videos. We use the front camera on iPhone to capture human face and build a virtualized face on screen to mimic the real-time expression of the human face in front of the screen. We create an interesting virtualized face