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.
Author(s): Alan Wexelblat (auth.), Ipke Wachsmuth, Martin Fröhlich (eds.)
Series: Lecture Notes in Computer Science 1371 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1998
Language: English
Pages: 320
Tags: Artificial Intelligence (incl. Robotics); Pattern Recognition; Simulation and Modeling
Front Matter....Pages -
Research challenges in gesture: Open issues and unsolved problems....Pages 1-11
Progress in sign language recognition....Pages 13-21
Movement phases in signs and co-speech gestures, and their transcription by human coders....Pages 23-35
Classifying two dimensional gestures in interactive systems....Pages 37-48
Are listeners paying attention to the hand gestures of an anthropomorphic agent? an evaluation using a gaze tracking method....Pages 49-59
Gesture-Based and haptic interaction for human skill acquisition....Pages 61-68
High performance real-time gesture recognition using Hidden Markov Models....Pages 69-80
Velocity profile based recognition of dynamic gestures with discrete Hidden Markov Models....Pages 81-95
Video-based sign language recognition using Hidden Markov Models....Pages 97-109
Corpus of 3D natural movements and sign language primitives of movement....Pages 111-121
On the use of context and a priori knowledge in motion analysis for visual gesture recognition....Pages 123-134
Automatic estimation of body regions from video images....Pages 135-145
Rendering gestures as line drawings....Pages 147-157
Investigating the role of redundancy in multimodal input systems....Pages 159-171
Gesture recognition of the upper limbs — From signal to symbol....Pages 173-184
Exploiting distant pointing gestures for object selection in a virtual environment....Pages 185-196
An intuitive two-handed gestural interface for computer supported product design....Pages 197-208
Detection of fingertips in human hand movement sequences....Pages 209-218
Neural architecture for gesture-based human-machine-interaction....Pages 219-232
Robotic gesture recognition....Pages 233-244
Image based recognition of gaze direction using adaptive methods....Pages 245-257
Towards a dialogue system based on recognition and synthesis of Japanese sign language....Pages 259-271
The recognition algorithm with non-contact for Japanese sign language using morphological analysis....Pages 273-284
Special topics of gesture recognition applied in intelligent home environments....Pages 285-296
BUILD-IT: An intuitive design tool based on direct object manipulation....Pages 297-308
Back Matter....Pages -
