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Related Experiment Video

Updated: Jun 18, 2026

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

Off-the-shelf mobile handset environments for deploying accelerometer based gait and activity analysis algorithms.

Martin Hynes1, Han Wang, Liam Kilmartin

  • 1Communication and Signal Processing Research Unit, School of Engineering and Informatics, Uational University of Ireland, Galway. mhynes@unigalway.ie

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
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Mobile phones with accelerometers can analyze gait and activity in real-time. This technology enables custom software development for non-intrusive, accessible motion sensing applications.

Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Signal Processing

Background:

  • Accelerometry data has gained significant interest for automated gait and activity analysis.
  • Mobile phones increasingly feature embedded accelerometers, offering accessible sensing platforms.

Purpose of the Study:

  • To summarize mobile phone platforms for real-time accelerometry data analysis.
  • To provide an overview of software environments for developing custom analysis algorithms.
  • To demonstrate a sample application for gait activity detection using mobile phones.

Main Methods:

  • Review of 'of-the-shelf' mobile phone platforms with embedded accelerometers.
  • Overview of software development environments: Java ME (JSR 256 API), C++ (Motion Sensor API), Python ('aXYZ' module).

More Related Videos

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

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

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

Related Experiment Videos

Last Updated: Jun 18, 2026

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

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

  • Development and evaluation of a sample gait activity detection application.

    • Main Results:

    • Identification of suitable mobile phone hardware for accelerometry.
    • Demonstration of software tools for real-time data processing.
    • Successful implementation and evaluation of a gait detection application on a standard mobile phone.

    Conclusions:

    • Standard mobile phones serve as effective, non-intrusive platforms for gait and activity analysis.
    • Custom software development using available APIs facilitates real-time motion sensing.
    • Accelerometry on mobile devices offers a practical approach for accessible health monitoring.