Literature DB >> 26059484

A wearable smartphone-enabled camera-based system for gait assessment.

Albert Kim1, Junyoung Kim2, Shirley Rietdyk3, Babak Ziaie4.   

Abstract

Quantitative assessment of gait parameters provides valuable diagnostic and prognostic information. However, most gait analysis systems are bulky, expensive, and designed to be used indoors or in laboratory settings. Recently, wearable systems have attracted considerable attention due to their lower cost and portability. In this paper, we present a simple wearable smartphone-enabled camera-based system (SmartGait) for measurement of spatiotemporal gait parameters. We assess the concurrent validity of SmartGait as compared to a commercially available pressure-sensing walkway (GaitRite). Fifteen healthy young adults (25.8± 2.6 years) were instructed to walk at slow, preferred, and fast speed. The measures of step length (SL), step width (SW), step time (ST), gait speed, double support time (DS) and their variability were assessed for agreement between the two systems; absolute error and intra-class correlation coefficients (ICC) were determined. Measured gait parameters had modest to excellent agreements (ICCs between 0.731 and 0.982). Overall, SmartGait provides many advantages and is a strong alternative wearable system for laboratory and community-based gait assessment.
Copyright © 2015 Elsevier B.V. All rights reserved.

Keywords:  Gait assessment; SmartGait; Step width; Variability; Wearable

Mesh:

Year:  2015        PMID: 26059484     DOI: 10.1016/j.gaitpost.2015.05.001

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  6 in total

1.  Vision-based gait impairment analysis for aided diagnosis.

Authors:  Javier Ortells; María Trinidad Herrero-Ezquerro; Ramón A Mollineda
Journal:  Med Biol Eng Comput       Date:  2018-02-12       Impact factor: 2.602

2.  Daily Marital Tension and Symptom Severity in Older Adults With Diabetes or Osteoarthritis.

Authors:  Lynn M Martire; Rachel C Hemphill; Ruixue Zhaoyang; Mary Ann Parris Stephens; Melissa M Franks; Ashley M Stanford
Journal:  Ann Behav Med       Date:  2018-09-13

3.  Reliability of Smartphone Accelerometers for Measuring Gait During Data Collection Over Zoom.

Authors:  Nancy T Nguyen; Jefferson W Streepey
Journal:  Telemed Rep       Date:  2022-06-28

4.  Validation of a Wearable Sensor for Measuring Running Biomechanics.

Authors:  Rachel M Koldenhoven; Jay Hertel
Journal:  Digit Biomark       Date:  2018-08-02

5.  Scoping Review of Healthcare Literature on Mobile, Wearable, and Textile Sensing Technology for Continuous Monitoring.

Authors:  N Hernandez; L Castro; J Medina-Quero; J Favela; L Michan; W Ben Mortenson
Journal:  J Healthc Inform Res       Date:  2021-02-01

Review 6.  Novel sensing technology in fall risk assessment in older adults: a systematic review.

Authors:  Ruopeng Sun; Jacob J Sosnoff
Journal:  BMC Geriatr       Date:  2018-01-16       Impact factor: 3.921

  6 in total

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