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Context Aware Human-Robot and Human-Agent Interaction 1st ed. 2016 [Hardback]

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  • Formāts: Hardback, 298 pages, height x width: 235x155 mm, weight: 5915 g, XIII, 298 p., 1 Hardback
  • Sērija : HumanComputer Interaction Series
  • Izdošanas datums: 08-Oct-2015
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319199463
  • ISBN-13: 9783319199467
  • Hardback
  • Cena: 91,53 €*
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  • Formāts: Hardback, 298 pages, height x width: 235x155 mm, weight: 5915 g, XIII, 298 p., 1 Hardback
  • Sērija : HumanComputer Interaction Series
  • Izdošanas datums: 08-Oct-2015
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319199463
  • ISBN-13: 9783319199467

This is the first book to describe how Autonomous Virtual Humans and Social Robots can interact with real people, be aware of the environment around them, and react to various situations. Researchers from around the world present the main techniques for tracking and analysing humans and their behaviour and contemplate the potential for these virtual humans and robots to replace or stand in for their human counterparts, tackling areas such as awareness and reactions to real world stimuli and using the same modalities as humans do: verbal and body gestures, facial expressions and gaze to aid seamless human-computer interaction (HCI).

The research presented in this volume is split into three sections:

· User Understanding through Multisensory Perception: deals with the analysis and recognition of a given situation or stimuli, addressing issues of facial recognition, body gestures and sound localization.

· Facial and Body Modelling Animation: presents the methods used in modelling and animating faces and bodies to generate realistic motion.

· Modelling Human Behaviours: presents the behavioural aspects of virtual humans and social robots when interacting and reacting to real humans and each other.

Context Aware Human-Robot and Human-Agent Interaction would be of great use to students, academics and industry specialists in areas like Robotics, HCI, and Computer Graphics.

Part I User Understanding Through Multisensory Perception
1 Face and Facial Expressions Recognition and Analysis
3(28)
Jianfeng Ren
Xudong Jiang
Junsong Yuan
2 Body Movement Analysis and Recognition
31(24)
Yang Xiao
Hui Liang
Junsong Yuan
Daniel Thalmann
3 Sound Source Localization and Tracking
55(26)
Kai Wu
Andy W.H. Khong
Part II Facial and Body Modelling Animation
4 Modelling Conversation
81(32)
Martin Constable
Justin Dauwels
Shoko Dauwels
Rasheed Umer
Mengyu Zhou
Yasir Tahir
5 Personalized Body Modeling
113(20)
Hyewon Seo
6 Parameterized Facial Modelling and Animation
133(18)
Junghyun Cho
Heeseung Choi
Sang Chul Ahn
Ig-Jae Kim
7 Motion-Based Learning
151(24)
Il Hong Suh
Sang Hyoung Lee
8 Responsive Motion Generation
175(16)
Sukwon Lee
Sung-Hee Lee
9 Shared Object Manipulation
191(20)
Jun Lee
Nadia Magnenat-Thalmann
Daniel Thalmann
Part III Modelling Human Behaviours
10 Modeling Personality, Mood, and Emotions
211(26)
Juzheng Zhang
Jianmin Zheng
Nadia Magnenat-Thalmann
11 Motion Control for Social Behaviors
237(20)
Aryel Beck
Zhang Zhijun
Nadia Magnenat-Thalmann
12 Multiple Virtual Human Interactions
257(18)
Samuel Lemercier
Daniel Thalmann
13 Multimodal and Multi-party Social Interactions
275
Zerrin Yumak
Nadia Magnenat-Thalmann