Gesture and sign language in human-computer interaction : International Gesture Workshop, Bielefeld, Germany, September 17-19 1997 : proceedings
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 languag...
Salvato in:
| Ente Autore: | |
|---|---|
| Altri autori: | , |
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Serie: | Lecture notes in computer science. Lecture notes in artificial intelligence
1371 |
| Soggetti: | |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Gesture and sign language in human-computer interaction, International Gesture Workshop, Bielefeld, Germany, September 17-19 1997, proceedings, Ipke Wachsmuth, Martin Fröhlich (eds.), 1998, Berlin, Springer, 1 vol. (XI-308 p.), Lecture notes in computer science, 3-540-64424-5 • Gesture and Sign Language in Human-Computer Interaction, Texte imprimé, 9783662186510 |
Sommario:
- Research challenges in gesture: Open issues and unsolved problems
- Progress in sign language recognition
- Movement phases in signs and co-speech gestures, and their transcription by human coders
- Classifying two dimensional gestures in interactive systems
- Are listeners paying attention to the hand gestures of an anthropomorphic agent? an evaluation using a gaze tracking method
- Gesture-Based and haptic interaction for human skill acquisition
- High performance real-time gesture recognition using Hidden Markov Models
- Velocity profile based recognition of dynamic gestures with discrete Hidden Markov Models
- Video-based sign language recognition using Hidden Markov Models
- Corpus of 3D natural movements and sign language primitives of movement
- On the use of context and a priori knowledge in motion analysis for visual gesture recognition
- Automatic estimation of body regions from video images
- Rendering gestures as line drawings
- Investigating the role of redundancy in multimodal input systems
- Gesture recognition of the upper limbs From signal to symbol
- Exploiting distant pointing gestures for object selection in a virtual environment
- An intuitive two-handed gestural interface for computer supported product design
- Detection of fingertips in human hand movement sequences
- Neural architecture for gesture-based human-machine-interaction
- Robotic gesture recognition
- Image based recognition of gaze direction using adaptive methods
- Towards a dialogue system based on recognition and synthesis of Japanese sign language
- The recognition algorithm with non-contact for Japanese sign language using morphological analysis
- Special topics of gesture recognition applied in intelligent home environments
- BUILD-IT: An intuitive design tool based on directobject manipulation.