A motion tracking system for hand activity assessment

Author

Chia-Hsiung Chen ; Yu Hen Hu ; Radwin, Robert G.

Author_Institution

Univ. of Wisconsin - Madison, Madison, WI, USA

fYear

2014

fDate

9-13 July 2014

Firstpage

320

Lastpage

324

Abstract

A video-based hand-motion detection and tracking system is developed for the purpose of automated hand activity level assessment in a factory workplace. While the basic approach follows the sequential Bayesian estimation principle, a unique verification step is proposed to validate the quality of estimates. An experimental simulated workplace assembly line workstation is developed. The proposed system shows satisfactory performance and robustness due to the novel verification step.

Keywords

Bayes methods; assembling; motion estimation; object detection; object tracking; video signal processing; automated hand activity level assessment; experimental simulated workplace assembly line workstation; factory workplace; hand activity assessment; motion tracking system; sequential Bayesian estimation principle; verification process; video-based hand-motion detection system; video-based hand-motion tracking system; Algorithm design and analysis; Color; Employment; Histograms; Image color analysis; Tracking; Trajectory; hand activity assessment; hand motion; video-based object tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4799-5401-8

Type

conf

DOI

10.1109/ChinaSIP.2014.6889256

Filename

6889256