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Open AccessBook ChapterDOI

Machine Analysis of Facial Expressions

Maja Pantic, +1 more
- pp 377-416
TLDR
The human face is a multi-signal input-output communicative system capable of tremendous flexibility and specificity and is the authors' preeminent means of communicating and understanding somebody’s affective state and intentions on the basis of the shown facial expression.
Abstract
1. Human Face and Its Expression The human face is the site for major sensory inputs and major communicative outputs. It houses the majority of our sensory apparatus as well as our speech production apparatus. It is used to identify other members of our species, to gather information about age, gender, attractiveness, and personality, and to regulate conversation by gazing or nodding. Moreover, the human face is our preeminent means of communicating and understanding somebody’s affective state and intentions on the basis of the shown facial expression (Keltner & Ekman, 2000). Thus, the human face is a multi-signal input-output communicative system capable of tremendous flexibility and specificity (Ekman & Friesen, 1975). In general, the human face conveys information via four kinds of signals. (a) Static facial signals represent relatively permanent features of the face, such as the bony structure, the soft tissue, and the overall proportions of the face. These signals contribute to an individual’s appearance and are usually exploited for person identification.

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Journal ArticleDOI

A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions

TL;DR: In this paper, the authors discuss human emotion perception from a psychological perspective, examine available approaches to solving the problem of machine understanding of human affective behavior, and discuss important issues like the collection and availability of training and test data.
Book

Social Signal Processing

TL;DR: It is argued that next-generation computing needs to include the essence of social intelligence - the ability to recognize human social signals and social behaviours like turn taking, politeness, and disagreement - in order to become more effective and more efficient.

Facial Expression Analysis.

TL;DR: This chapter reviews fundamental approaches to facial measurement by behavioral scientists and current efforts in automated facial expression recognition, and considers challenges, databases available to the research community, approaches to feature detection, tracking, and representation, and both supervised and unsupervised learning.
Proceedings ArticleDOI

A high-resolution 3D dynamic facial expression database

TL;DR: This paper presents a newly created high-resolution 3D dynamic facial expression database, which is made available to the scientific research community and has been validated through the authors' facial expression recognition experiment using an HMM based 3D spatio-temporal facial descriptor.
Proceedings ArticleDOI

MoodScope: building a mood sensor from smartphone usage patterns

TL;DR: A first-of-its-kind smartphone software system, MoodScope, which infers the mood of its user based on how the smartphone is used and provides mood as an important input to context-aware computing is reported.
References
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Book ChapterDOI

A New Approach to Linear Filtering and Prediction Problems

TL;DR: In this paper, the clssical filleting and prediclion problem is re-examined using the Bode-Shannon representation of random processes and the?stat-tran-sition? method of analysis of dynamic systems.
Journal ArticleDOI

Robust Real-Time Face Detection

TL;DR: In this paper, a face detection framework that is capable of processing images extremely rapidly while achieving high detection rates is described. But the detection performance is limited to 15 frames per second.
Proceedings Article

An iterative image registration technique with an application to stereo vision

TL;DR: In this paper, the spatial intensity gradient of the images is used to find a good match using a type of Newton-Raphson iteration, which can be generalized to handle rotation, scaling and shearing.
Book

The Expression of the Emotions in Man and Animals

TL;DR: The Expression of the Emotions in Man and Animals Introduction to the First Edition and Discussion Index, by Phillip Prodger and Paul Ekman.
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