Computer analysis of human behavior opens up possibilities of advanced applications in a wide range of diverse areas.

"Computer Analysis of Human Behavior" presents the key issues and computational tools which will form the foundation of such future applications. With dedicated chapters on both methodology and applications, this essential text/reference provides a broad survey of advanced pattern recognition techniques for the interpretation of complex human behavioral patterns. Clearly structured, the book begins with concise coverage of the major concepts, before introducing the most frequently used techniques and algorithms in detail, and then discussing examples of real applications. Each chapter offers a stand-alone treatment of a relevant topic, covering the most important issues and approaches, as well as predicting future research directions and posing open questions.

Topics and features: contains contributions from an international selection of experts in the field; presents a thorough introduction to the fundamental topics of human behavior analysis; investigates methods for activity recognition, including gait and posture analysis, hand gesture analysis, and semantics of human behavior in image sequences; provides an accessible psychological treatise on social signals for the analysis of social behaviors; discusses voice and speech analysis for assessing human communicative behavior, combined audiovisual cues, and social interactions and group dynamics; examines applications in different research fields, from behavioral biometrics and gaming to ambient intelligence for assisted living; each chapter concludes with review questions, a summary of the topics covered, and a glossary.

Ideal for graduate courses on computer analysis of human behavior, this unique text can also be used as a guide for researchers in computer science, cognitive science and psychology. Additionally, professionals and policy-makers working in fields as diverse as ergonomics, biometrics, and healthcare will find this a valuable reference.

This book constitutes the refereed proceedings of the 4th International Workshop on Human Behavior Understanding, HBU 2013, held in Barcelona, Spain, in October 2013. The 21 papers presented were carefully reviewed and selected from 50 submissions. The papers are grouped in topical sections on: behaviour and affect in arts, creativity, entertainment, and edutainment applications; actions and activities; facial behavior; social signals; and affective signals.

This book constitutes the refereed proceedings of the Third Workshop on Human Behavior Understanding, HBU 2012, held in Vilamoura, Portugal, in October 2012. The 14 revised papers presented were carefully reviewed and selected from 31 submissions. The papers are organized in topical sections on sensing human behavior; social and affective signals; human-robot interaction; imitation and learning from demonstration.

This book constitutes the refereed proceedings of the Second International Workshop on Human Behavior Understanding, HBU 2011, held in Amsterdam, The Netherlands, in November 2011, in conjunction with AmI-11, the International Joint Conference on Ambient Intelligence.
The 13 revised full papers presented together with 2 keynote talks and one summarizing paper were carefully reviewed and selected from 32 submissions. The papers are organized in topical sections on analysis of human actions and activities, face and gesture analysis, persuasive technologies, and social interactions.

This book provides a broad survey of advanced pattern recognition techniques for human behavior analysis. Clearly structured, the book begins with concise coverage of the major concepts, before introducing the most frequently used techniques and algorithms in detail, and then discussing examples of real applications. Features: contains contributions from an international selection of experts in the field; presents a thorough introduction to the fundamental topics of human behavior analysis; investigates methods for activity recognition, including gait and posture analysis, hand gesture analysis, and semantics of human behavior in image sequences; provides an accessible psychological treatise on social signals for the analysis of social behaviors; discusses voice and speech analysis, combined audiovisual cues, and social interactions and group dynamics; examines applications in different research fields; each chapter concludes with review questions, a summary of the topics covered, and a glossary.

This book constitutes the proceedings of the 21st International Conference on Speech and Computer, SPECOM 2019, held in Istanbul, Turkey, in August 2019. The 57 papers presented were carefully reviewed and selected from 86 submissions. The papers present current research in the area of computer speech processing including audio signal processing, automatic speech recognition, speaker recognition, computational paralinguistics, speech synthesis, sign language and multimodal processing, and speech and language resources.

This book constitutes the refereed proceedings of the 7th International Workshop on Human Behavior Understanding, HBU 2016, held in Amsterdam, The Netherlands, in October 2016. The 10 full papers were carefully reviewed and selected from 17 initial submissions. They are organized in topical sections named: behavior analysis during play; daily behaviors; gesture and movement analysis; and vision based applications.

This book constitutes the proceedings of the 6th International Workshop on Human Behavior Understanding, HBU 2015, held in Osaka, Japan, in September 2015. The 11 full papers were carefully reviewed and selected from 15 initial submissions. They are organized in topical sections named: interaction with elderly, learning behavior patterns, and mobile solutions.

This book constitutes the proceedings of the 5th International Workshop on Human Behavior Understanding, HBU 2014, held in Zurich, Switzerland, in September 2014. The 9 full papers presented in this volume were carefully reviewed and selected from 18 submissions. They are organized in topical sections named: social signals; face and affect; motion analysis; and multiparty interactions.

Three dimensional (3D) face recognition is a frequently used biometric and its performance is dependent on registration. Registration aligns two faces and makes a comparison possible between the two surfaces. In the literature, best results have been achieved by a one-to-all approach, where a test face is aligned to each gallery face separately. To overcome the computational bottleneck of this approach, we examine registration based on an Average Face Model (AFM). To improve the registration, we propose to group faces and register with category-specific AFMs. We see that gender and morphology classes exist, when faces are categorized with the clustering approach. As another factor causing diversity in the face space, we explore expression variations. To reduce the negative effect of expressions in registration, we divide the facial surface into logical segments, and for each segment we create an Average Region Model (ARM). Registering via each ARM separately, we examine regional recognition performance. Even though some regions are less affected by expression variations, no single region is sufficient by itself and the use of all regions is beneficial.