Claudia Nölker

Publication List Details

Period

1997 - 2008

Number

7

Co-Authors

Visual Recognition of Continuous Hand Postures (2008)

Sprachliche Kommunikation, Claudia Nölker, Helge Ritter

This paper1 describes GREFIT (Gesture REcognition based on FInger Tips), a neural network-based system which recognizes continuous hand postures from grey level video images. Our approach yields a...

Hand Postures for Sonification Control- Extended Abstract (2007)

Thomas Hermann, Claudia Nölker, Helge Ritter, Contact Thomas Hermann, Address Thomas Hermann, ...

Sonification is a rather new technique in human-computer interaction, making usage of our auditory perception channel. Different from speech interfaces, sonification uses non-verbal sounds as the...

GREFIT : ein System zur visuellen Erkennung von Handposturen (2000)

Nölker, Claudia

Unsere Hände benutzen wir alltäglich und ständig, ohne uns dessen bewusst zu sein, zur Interaktion mit Objekten oder zur Kommunikation - sowohl von Mensch zu Mensch als auch von Mensch zu...

The PSOM algorithm and applications (2000)

Jörg Walter, Claudia Nölker, Helge Ritter

Maps ” (PSOM) as a learning method for rapidly creating high-dimensional, continuous mappings. The PSOM can be viewed as the continous generalization of the discrete topology preserving map build...

Detection of fingertips in human hand movement sequences (1998)

Claudia Nölker, Helge Ritter

Abstract This paper presents an hierarchical approach with neural networks to locate the positions of the fingertips in grey-scale images of human hands. The first chapters introduce and sum up the...

Illumination independant recognition of deictic arm postures (1998)

Claudia Nölker, Helge Ritter

This paper presents VisBoS, a visual system for detecting the 3D location of descriptive body landmarks (shoulder, elbow, wrist) out of stereo images using neural networks. The user is standing in...

Detection of Fingertips in Human Hand Movement Sequences (1997)

Claudia Nölker, Helge Ritter

This paper presents an hierarchical approach with neural networks to locate the positions of the fingertips in grey-scale images of human hands. The first chapters introduce and sum up the research...