Computer Analysis of Human Behavior

This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.

Ernest Dichter is famous as one of the founding fathers of motivational research. In applying the social sciences to a variety of problems, Dichter emphasized new approaches to problem solving, advertising, politics, and selling, and issues of social significance such as urban renewal, productivity, and drug addiction. As an author and corporate adviser, he used psychoanalytic theory and depth interviewing to uncover unconsciously held attitudes and beliefs.

This book constitutes the refereed proceedings of the 13th European Workshop on Computer Performance Engineering, EPEW 2016, held in Chios, Greece, in October 2016.

This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, infonnation, and data-processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychology through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experi­ mental, and methodological studies will also appear from time to time. In the present volume, Bruce Thyer has brought together an impressive collection of original studies concerning philosophical aspects of behaviorism, which continues to exert considerable influence even in the era of the Cognitive Revolution. From its early origins and basic principles to its analysis of verbal behavior, consciousness, and free-will, determinism, and self-control, this work offers something of value for everyone with a serious interest in understanding scientific method in application to human behavior. Indeed, as the editor remarks, behaviorism is as much a philosophy as it is an approach to the study of behavior. The breadth and depth of this approach receives proper representation in this work devoted to its rich and varied philosophical legacy. J.H.F. v BA. Thyer (ed.). The Philosophical Legacy of Behaviorism, v.