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Model-driven statistical analysis of human gait motion

Model-driven statistical analysis of human gait motion
Model-driven statistical analysis of human gait motion
We describe a new method for analyzing and extracting human gait motion by combining statistical methods with image processing. The periodic motion of human gait is modeled by trigonometric-polynomial interpolant functions. The gait description is derived by topological analysis guided by medical studies that selects areas from which joint angles are derived by regression analysis. Then, the interpolant functions are fitted to the gait data and whilst showing fidelity to earlier medical studies, also show recognition capability. As such, a new combination of medical knowledge, image processing and regression analysis can be used to label human motion in image sequences.
computer-vision, feature-extraction, gait-analysis, image-motion-analysis, image-sequences, interpolation-, polynomial-approximation, statistical-analysis
285-288
Yoo, Jang H
28ae1f17-0f8a-4c4d-a134-47bab019f16a
Nixon, Mark S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Harris, Chris J
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Yoo, Jang H
28ae1f17-0f8a-4c4d-a134-47bab019f16a
Nixon, Mark S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Harris, Chris J
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Yoo, Jang H, Nixon, Mark S and Harris, Chris J (2002) Model-driven statistical analysis of human gait motion. ICIP 2002 International Conference on Image Processing, United States. 22 - 25 Sep 2002. pp. 285-288 .

Record type: Conference or Workshop Item (Other)

Abstract

We describe a new method for analyzing and extracting human gait motion by combining statistical methods with image processing. The periodic motion of human gait is modeled by trigonometric-polynomial interpolant functions. The gait description is derived by topological analysis guided by medical studies that selects areas from which joint angles are derived by regression analysis. Then, the interpolant functions are fitted to the gait data and whilst showing fidelity to earlier medical studies, also show recognition capability. As such, a new combination of medical knowledge, image processing and regression analysis can be used to label human motion in image sequences.

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More information

Published date: 2002
Additional Information: Event Dates: 22-25 Sept. 2002
Venue - Dates: ICIP 2002 International Conference on Image Processing, United States, 2002-09-22 - 2002-09-25
Keywords: computer-vision, feature-extraction, gait-analysis, image-motion-analysis, image-sequences, interpolation-, polynomial-approximation, statistical-analysis
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 257894
URI: http://eprints.soton.ac.uk/id/eprint/257894
PURE UUID: e3067c1e-076a-4cd2-b101-59187dbffe53
ORCID for Mark S Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 20 Nov 2003
Last modified: 17 Dec 2019 02:04

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