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Related Experiment Video

Updated: May 24, 2026

Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study
07:51

Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study

Published on: March 14, 2017

Reliability and validity of gait analysis by android-based smartphone.

Shu Nishiguchi1, Minoru Yamada, Koutatsu Nagai

  • 1Department of Physical Therapy, Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan. shu.n@ks2.ecs.kyoto-u.ac.jp

Telemedicine Journal and E-Health : the Official Journal of the American Telemedicine Association
|March 10, 2012
PubMed
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Smartphone accelerometers can reliably and validly assess gait patterns. This study confirms their accuracy, comparable to traditional tri-axial accelerometers, for gait analysis.

Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Human Movement Science

Background:

  • Smartphones possess built-in tri-axial accelerometers, offering potential for gait analysis.
  • Existing research on smartphone-based gait analysis is limited, with unverified reliability and validity.

Purpose of the Study:

  • To evaluate the reliability and validity of smartphone accelerometers for gait pattern assessment.
  • To compare smartphone-derived gait parameters with those from a standard tri-axial accelerometer.

Main Methods:

  • Thirty healthy adults walked at preferred speeds, with trunk accelerations measured by smartphone and tri-axial accelerometer.
  • A custom gait analysis application processed acceleration data to calculate gait parameters.
  • Key parameters analyzed included peak frequency (PF), root mean square (RMS), autocorrelation peak (AC), and coefficient of variance (CV).

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Related Experiment Videos

Last Updated: May 24, 2026

Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study
07:51

Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study

Published on: March 14, 2017

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Main Results:

  • Smartphone gait analysis demonstrated excellent test-retest reliability across all parameters (p<0.001).
  • Smartphone results showed strong correlations with tri-axial accelerometer data (PF r=0.99, RMS r=0.89, AC r=0.85, CV r=0.82; p<0.01).

Conclusions:

  • Smartphone accelerometers, with a dedicated application, can accurately quantify gait parameters.
  • This technology offers a reliable and valid alternative to traditional accelerometers for gait analysis.