Key-posture extraction out of human motion data

Author

Lim, Ik Soo ; Thalmann, Daniel

Author_Institution

Swiss Fed. Inst. of Technol., Lausanne, Switzerland

Volume

2

fYear

2001

fDate

2001

Firstpage

1167

Abstract

Recent progress in 3-D capture technology has made it possible to obtain much of realistic motion data of human subjects. Being captured in high frame rates, compression or extraction of key postures out of the motion data is useful for storage, transfer and browsing among them: this can serve as an Important pre-processing for applications such as rehabilitation, ergonomics and sports physiology. This paper addresses these problems by treating the motion date as trajectory curves In a high-dimensional space and doing a novel application of a curve simplification algorithm, typically used for planar curves, to human motion data.

Keywords

computer animation; curve fitting; data visualisation; gait analysis; image sampling; image sequences; medical image processing; motion estimation; sport; 3-D capture; adaptive sampling; animation; automatic extraction; curve simplification; data manipulation; data visualization; ergonomics; high frame rates; high-dimensional space; human motion data; key-posture extraction; piecewise polynomial; planar curves; polygonal chain; realistic motion data; rehabilitation; sports physiology; trajectory curves; uniform sampling; video sequences; Data mining; Ergonomics; Humans; Image coding; Image storage; Magnetic devices; Motion analysis; Physiology; Space technology; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1020399

Filename

1020399