Facial Action Coding System

While we have known for centuries that facial expressions can reveal what people are thinking and feeling, it is only recently that the face has been studied scientifically for what it can tell us about internal states, social behavior, and psychopathology. Today's widely available, sophisticated measuring systems have allowed us to conduct a wealth of new research on facial behavior that has contributed enormously to our understanding of the relationship between facial expression and human psychology. The chapters in this volume present the state-of-the-art in this research. They address key topics and questions, such as the dynamic and morphological differences between voluntary and involuntary expressions, the relationship between what people show on their faces and what they say they feel, whether it is possible to use facial behavior to draw distinctions among psychiatric populations, and how far research on automating facial measurement has progressed. The book also includes follow-up commentary on all of the original research presented and a concluding integration and critique of all the contributions made by Paul Ekman. As an essential reference for all those working in the area of facial analysis and expression, this volume will be indispensable for a wide range of professionals and students in the fields of psychology, psychiatry, and behavioral medicine.

Facial expressions convey a vast amount of information, but only recently have investigators begun to explore the precise details of what expressions are telling us about internal states, social behavior, and psychopathology. The Facial Action Coding System (FACS), which is a tool for comprehensively measuring facial expressions, plays a central role in this rapidly growing and exciting field. This volume represents the state of the art in research on facial expressions. Drawing from psychology, medicine, and psychiatry, the chapters address such key issues as the dynamic and morphological differences between voluntary and involuntary expressions; the relationship between what people show on their faces and what they say they feel; and whether it is possible to use facial behavior to distinguish among different psychiatric populations. The volume includes groundbreaking work on how the face reveals emotions, deception, psychopathology, and aspects of physical health. An essential reference for anyone pursuing research in facial expressions, this work combines classic papers with up-to-date commentary by the authors.

This comprehensive handbook discusses the tools for conducting emotion research. It examines relevant background literature, psychometric data, and copies of stimuli, instruments, scales, and coding manuals, as well as a wealth of solid advice from leaders in the field.

This book constitutes the refereed proceedings of the 8th International Conference on Advanced Data Mining and Applications, ADMA 2012, held in Nanjing, China, in December 2012. The 32 regular papers and 32 short papers presented in this volume were carefully reviewed and selected from 168 submissions. They are organized in topical sections named: social media mining; clustering; machine learning: algorithms and applications; classification; prediction, regression and recognition; optimization and approximation; mining time series and streaming data; Web mining and semantic analysis; data mining applications; search and retrieval; information recommendation and hiding; outlier detection; topic modeling; and data cube computing.

This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications; contains numerous step-by-step algorithms; describes a broad range of applications; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.