Literature DB >> 20144920

A monocular marker-free gait measurement system.

Jane Courtney1, A M de Paor.   

Abstract

This paper presents a new, user-friendly, portable motion capture and gait analysis system for capturing and analyzing human gait, designed as a telemedicine tool to monitor remotely the progress of patients through treatment. The system requires minimal user input and simple single-camera filming (which can be acquired from a basic webcam) making it very accessible to nontechnical, nonclinical personnel. This system can allow gait studies to acquire a much larger data set and allow trained gait analysts to focus their skills on the interpretation phase of gait analysis. The design uses a novel motion capture method derived from spatiotemporal segmentation and model-based tracking. Testing is performed on four monocular, sagittal-view, sample gait videos. Results of modeling, tracking, and analysis stages are presented with standard gait graphs and parameters compared to manually acquired data.

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Year:  2010        PMID: 20144920     DOI: 10.1109/TNSRE.2010.2041792

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  2 in total

Review 1.  Gait disorder rehabilitation using vision and non-vision based sensors: a systematic review.

Authors:  Asraf Ali; Kenneth Sundaraj; Badlishah Ahmad; Nizam Ahamed; Anamul Islam
Journal:  Bosn J Basic Med Sci       Date:  2012-08       Impact factor: 3.363

2.  Skeleton-Based Abnormal Gait Detection.

Authors:  Trong-Nguyen Nguyen; Huu-Hung Huynh; Jean Meunier
Journal:  Sensors (Basel)       Date:  2016-10-26       Impact factor: 3.576

  2 in total

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