Analysis of Human Arm Motions Recognition Algorithms for System to Visualize Virtual Arm

Author

Brzostowski, Krzysztof ; Zieba, Maciej

Author_Institution

Inst. of Comput. Sci., Wroclaw Univ. of Technol., Wroclaw, Poland

fYear

2011

Firstpage

422

Lastpage

426

Abstract

This paper presents preliminary studies on the problem of classification of different kinds of human arm motions based on EMG signals. Methods of change detection, classification, features extraction and selection are considered as an important elements of recognition process. Presented algorithms are part of module to visualise human arm movements. The aim of presented work is to develop system to support technical training of tennis player through visualisation of human arm motions and biofeedback.

Keywords

computer based training; data visualisation; electromyography; feature extraction; motion estimation; signal classification; sport; EMG signal; biofeedback; change detection; feature extraction; feature selection; human arm motion classification; human arm motion recognition algorithm; human arm movement visualisation; tennis player technical training support; virtual arm visualization; Biomedical monitoring; Electromyography; Feature extraction; Humans; Sensors; Signal processing; Training; body sensor networks; decision support systems; pattern recognition; prognostics and health management;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Engineering (ICSEng), 2011 21st International Conference on

Conference_Location

Las Vegas, NV

Print_ISBN

978-1-4577-1078-0

Type

conf

DOI

10.1109/ICSEng.2011.83

Filename

6041873