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Markerless Feature Extraction for Gait Analysis

Markerless Feature Extraction for Gait Analysis
Markerless Feature Extraction for Gait Analysis
Human motion analysis has received a great attention from researchers in the last decade due to its potential use in different applications. We propose a new approach to extract human joints (Vertex positions)using a model-based method. The gait pattern is incorporated to aid the extraction process, where model templates are established through analysis of gait motion. People walk normal to the viewing plane, as major gait information is available in a sagittal view. Gait periodicity and other parameters are estimated by finding the heel strikes. The ankle, knee and hip joints are successfully extracted with high accuracy for indoor and outdoor data. In this way, we have established a baseline analysis which can be deployed in recognition, marker-less analysis and other areas.
55-60
BOUCHRIKA, I.
794cc09f-700f-4902-b7e3-368e1819775e
NIXON, M. S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
BOUCHRIKA, I.
794cc09f-700f-4902-b7e3-368e1819775e
NIXON, M. S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12

BOUCHRIKA, I. and NIXON, M. S. (2006) Markerless Feature Extraction for Gait Analysis. 5th Chapter Conference on Advances in Cybernetic Systems, United Kingdom. pp. 55-60 .

Record type: Conference or Workshop Item (Paper)

Abstract

Human motion analysis has received a great attention from researchers in the last decade due to its potential use in different applications. We propose a new approach to extract human joints (Vertex positions)using a model-based method. The gait pattern is incorporated to aid the extraction process, where model templates are established through analysis of gait motion. People walk normal to the viewing plane, as major gait information is available in a sagittal view. Gait periodicity and other parameters are estimated by finding the heel strikes. The ankle, knee and hip joints are successfully extracted with high accuracy for indoor and outdoor data. In this way, we have established a baseline analysis which can be deployed in recognition, marker-less analysis and other areas.

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More information

Published date: 2006
Additional Information: Event Dates: September 2006
Venue - Dates: 5th Chapter Conference on Advances in Cybernetic Systems, United Kingdom, 2006-09-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 262958
URI: https://eprints.soton.ac.uk/id/eprint/262958
PURE UUID: 0538bc45-1d19-4ab7-8adf-c1c71c74e4a6
ORCID for M. S. NIXON: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 15 Sep 2006
Last modified: 06 Jun 2018 13:17

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Contributors

Author: I. BOUCHRIKA
Author: M. S. NIXON ORCID iD

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