DRAG

A Database for Recognition and Analysis of Gait

Prem Kuchi, Raghu Ram Hiremagalur, Helen Huang, Michael Carhart, Jiping He, Sethuraman Panchanathan

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A novel approach is proposed for creating a standardized and comprehensive database for gait analysis. The field of gait analysis is gaining increasing attention for applications such as visual surveillance, human-computer interfaces, and gait recognition and rehabilitation. Numerous algorithms have been developed for analyzing and processing gait data; however, a standard database for their systematic evaluation does not exist. Instead, existing gait databases consist of subsets of kinematic, kinetic, and electromyographic activity recordings by different investigators, at separate laboratories, and under varying conditions. Thus, the existing databases are neither homogenous nor sufficiently populated to statistically validate the algorithms. In this paper, a methodology for creating a database is presented, which can be used as a common ground to test the performance of algorithms that rely upon external marker data, ground reaction loading data, and/or video images. The database consists of: (i) synchronized motion-capture data (3D marker data) obtained using external markers, (ii) computed joint angles, and (iii) ground reaction loading acquired with plantar pressure insoles. This database could be easily expanded to include synchronized video, which will facilitate further development of video-based algorithms for motion tracking. This eventually could lead to the realization of markerless gait tracking. Such a system would have extensive applications in gait recognition, as well as gait rehabilitation. The entire database (marker, angle, and force data) will be placed in the public domain, and made available for downloads over the World Wide Web.

Original languageEnglish (US)
Pages (from-to)115-124
Number of pages10
JournalUnknown Journal
Volume5242
DOIs
StatePublished - 2003

Fingerprint

gait
Gait
Databases
markers
Gait analysis
Patient rehabilitation
human-computer interface
Rehabilitation
Public Sector
surveillance
Biomechanical Phenomena
set theory
Interfaces (computer)
Data acquisition
Kinematics
kinematics
Joints
recording
Research Personnel
methodology

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

Kuchi, P., Hiremagalur, R. R., Huang, H., Carhart, M., He, J., & Panchanathan, S. (2003). DRAG: A Database for Recognition and Analysis of Gait. Unknown Journal, 5242, 115-124. https://doi.org/10.1117/12.515732

DRAG : A Database for Recognition and Analysis of Gait. / Kuchi, Prem; Hiremagalur, Raghu Ram; Huang, Helen; Carhart, Michael; He, Jiping; Panchanathan, Sethuraman.

In: Unknown Journal, Vol. 5242, 2003, p. 115-124.

Research output: Contribution to journalArticle

Kuchi, P, Hiremagalur, RR, Huang, H, Carhart, M, He, J & Panchanathan, S 2003, 'DRAG: A Database for Recognition and Analysis of Gait', Unknown Journal, vol. 5242, pp. 115-124. https://doi.org/10.1117/12.515732
Kuchi, Prem ; Hiremagalur, Raghu Ram ; Huang, Helen ; Carhart, Michael ; He, Jiping ; Panchanathan, Sethuraman. / DRAG : A Database for Recognition and Analysis of Gait. In: Unknown Journal. 2003 ; Vol. 5242. pp. 115-124.
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