Gesture and Sign Language in Human-Computer Interaction: International Gesture Workshop, Bielefeld, Germany, September 17-19, 1997, Proceedings

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Ipke Wachsmuth, Martin Fröhlich
Springer Science & Business Media, Apr 15, 1998 - Computers - 320 pages
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This book presents the thoroughly refereed post-workshop proceedings of an International Workshop on Gesture and Sign Language in Human-Computer Interaction held in Bielefeld, Germany, in 1997.
The book presents 25 revised papers together with two invited lectures. Recently, gesture and sign language have become key issues for advanced interface design in the humanization of computer interaction: AI, neural networks, pattern recognition, and agent techniques are having a significant impact on this area of research and development. The papers are organized in sections on semiotics for gesture movement, hidden Markov models, motion analysis and synthesis, multimodal interfaces, neural network methods, and applications.
 

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Contents

Open Issues and Unsolved Problems
1
Progress in Sign Language Recognition
13
Movement Phases in Signs and Cospeech Gestures and Their Transcription by Human Coders
23
Classifying Two Dimensional Gestures in Interactive Systems
37
Are Listeners Paying Attention to the Hand Gestures of an Anthropomorphic Agent? An Evaluation Using a Gaze Tracking Method
49
GestureBased and Haptic Interaction for Human Skill Acquisition
61
High Performance RealTime Gesture Recognition Using Hidden Markov Models
69
Velocity Profile Based Recognition of Dynamic Gestures with Discrete Hidden Markov Models
81
Gesture Recognition of the Upper Limbs From Signal to Symbol
173
Exploiting Distant Pointing Gestures for Object Selection in a Virtual Environment
185
An Intuitive TwoHanded Gestural Interface for Computer Supported Product Design
197
Detection of Fingertips in Human Hand Movement Sequences
209
Neural Architecture for GestureBased HumanMachineInteraction
219
Robotic Gesture Recognition
233
Image Based Recognition of Gaze Direction Using Adaptive Methods
245
Towards a Dialogue System Based on Recognition and Synthesis of Japanese Sign Language
259

VideoBased Sign Language Recognition Using Hidden Markov Models
97
Corpus of 3D Natural Movements and Sign Language Primitives of Movement
111
On the Use of Context and A Priori Knowledge in Motion Analysis for Visual Gesture Recognition
123
Automatic Estimation of Body Regions from Video Images
135
Rendering Gestures as Line Drawings
147
Investigating the Role of Redundancy in Multimodal Input Systems
159
The Recognition Algorithm with Noncontact for Japanese Sign Language Using Morphological Analysis
273
Special Topics of Gesture Recognition Applied in Intelligent Home Environments
285
An Intuitive Design Tool Based on Direct Object Manipulation
297
Author Index
309
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