In prior research, preschoolers were surprisingly poor at naming the emotion purportedly signaled by prototypical facial expressions—when shown as static images. To determine whether this poor performance is due to the use of static stimuli, rather than dynamic, we presented preschoolers (3–5 years) with facial expressions as either static images or dynamic audiovisual clips. Dynamic clips pres...

This paper provides a mechanism to deal with static/dynamic properties in a web-based Multi-Modal Interaction (MMI) system. The static/dynamic properties in this paper include user profile, user’s facial expression, surrounding environment, and so on. By using these properties, the MMI system can make interaction more natural based on context or situation. To consolidate these properties into a...

For better interaction between human beings and service robots we need to detect the emotional state of the human user. This can help the robot adapt to the user’s needs and can be used to increase the naturalness of the interaction. Our work proposes a hierarchal approach to facial expression recognition based extracting some facial features with the help of an Active Appearance Model. We intr...

We propose a novel method for synthesizing facial animation with 3-D pose and expression changes. On animation synthesis, one of the most important issues has been realistic face generation. Usual methods with 3-D facial model, however, have not realized natural face synthesis which represents the details and delicate changes of facial expressions. In our method, a facial image is synthesized d...

Facial emotion recognition has been very popular area for researchers in last few decades and it is found to be challenging complex task due large intra-class changes. Existing frameworks this type of problem depends mostly on techniques like Gabor filters, principle component analysis (PCA), independent analysis(ICA) followed by some classification trained given videos images. Most these works...

Morphological shape decomposition is used to model a facial image region as a sum of components and to extract a feature vector at the nodes of a sparse grid overlaid over the facial area in dynamic link matching. The feature vector is comprised of the greylevel values at this node in the reconstructed images at several decomposition levels. This feature vector is subsequently employed in Dynam...

how to cite this article:  inaloo s, katibeh p. guillain-barre syndrome presenting with bilateral facial nerve palsy. iran j child neurol. 2014 winter;8(1):69-71. objective this case study is about an 11-year-old girl with bilateral facial weakness, abnormal taste sensation, and deep tendon reflexes of both knees and ankles were absent. however, the muscle power of the lower and upper extremiti...

The present two-part study assesses how psychopathic traits affect individuals’ ability to process naturalistically elicited, dynamic emotional facial expressions. A new stimulus set of spontaneous, dynamic facial expressions was created by filming participants as they watched emotional video clips, and then validated using the program FaceReader. Faces from this set were then viewed by a secon...

Recently, studies of human face recognition have been conducted vigorously (Fasel & Luettin, 2003; Yang et al., 2002; Pantic & Rothkrantz, 2000a; Zhao et al., 2000; Hasegawa et al., 1997; Akamatsu, 1997). Such studies are aimed at the implementation of an intelligent man-machine interface. Especially, studies of facial expression recognition for humanmachine emotional communication are attracti...

BACKGROUND Depression is associated with interpersonal difficulties related to abnormalities in affective facial processing. OBJECTIVES To map brain systems activated by sad facial affect processing in patients with depression and to identify brain functional correlates of antidepressant treatment and symptomatic response. DESIGN Two groups underwent scanning twice using functional magnetic...