wurf z1

 

 

  

 

Description

Hands holding wiimote
The gesture recognition project uses the Wiimote for recording acceleration data. Gestures from different persons are trained and later recognized. We use Slow Feature Analysis (SFA) to find meaningful features for the training of classifiers.

 

 

 

People

Kristine Hein, Wolfgang KonenPatrick Koch

 

Publication

2011

Konen, Wolfgang

Self-configuration from a Machine-Learning Perspective Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (05/11; arXiv: 1105.1951), 2011, ISSN: 2191-365X, (e-print published at http://arxiv.org/abs/1105.1951 and Dagstuhl Preprint Archive, Workshop 11181 "Organic Computing -- Design of Self-Organizing Systems").

Links | BibTeX

2010

Hein, Kristine

Gestenerkennung mit Slow Feature Analysis (SFA) - Klassifizierung von beschleunigungsbasierten 3Đ-Gesten des Wii-Controllers Forschungsbericht

FH Köln 2010.

Links | BibTeX

Koch, Patrick; Konen, Wolfgang; Hein, Kristine

Gesture Recognition on Few Training Data using Slow Feature Analysis and Parametric Bootstrap Inproceedings

2010 International Joint Conference on Neural Networks, 2010.

Links | BibTeX

Hein, Kristine

Lernende Klassifikation beschleunigungsbasierter 3D-Gesten des Wii-Controllers Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Scienc and Engineering Science, (01-10), 2010, ISSN: 2191-365X.

Links | BibTeX