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An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

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Android Platform for Realtime Gait Tracking Using Inertial Measurement Units.

Pablo Aqueveque¹, Sergio Sobarzo¹, Francisco Saavedra¹

¹Electrical Engineering Department, University of Concepcion , Chile.

European Journal of Translational Myology

|December 20, 2016

Summary

This study introduces an affordable Inertial Measurement Unit (IMU) system for biomechanical gait analysis. The portable IMU sensors and Android application enable cost-effective, real-time gait quality evaluation for physical therapists.

Keywords:

android platform gait analysis inertial measurement units

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Last Updated: Mar 9, 2026

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field

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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

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Published on: March 14, 2017

Area of Science:

Biomechanics
Wearable Technology
Rehabilitation Engineering

Background:

Gait analysis is crucial for human movement assessment.
Traditional optical capture systems are costly and have environmental limitations.
Inertial Measurement Units (IMUs) offer a portable and cost-effective alternative for indoor movement analysis.

Purpose of the Study:

To develop and evaluate a low-cost system for biomechanical gait analysis using IMUs and an Android platform.
To enable real-time gait quality assessment for physical therapists.
To overcome the limitations of traditional optical gait analysis methods.

Main Methods:

Utilized small, autonomous IMU sensors with 0.01° resolution, transmitting data via Bluetooth.
Developed an Android application (version 4.2+) compatible with Bluetooth 2.0+ devices.
Integrated three IMU sensors wirelessly with a tablet to capture leg joint angle evolution (hip, knee, ankle).

Main Results:

The system provides real-time data on leg joint angles.
Enables online calculation of gait index and assessment of gait quality.
Demonstrates the feasibility of using IMUs for accessible biomechanical gait analysis.

Conclusions:

The proposed IMU-based system offers a cost-effective and portable solution for biomechanical gait analysis.
Real-time gait quality evaluation is achievable, supporting physical therapy interventions.
This technology enhances accessibility to gait analysis for both clinicians and patients.