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Updated: May 17, 2026

Home-Based Monitor for Gait and Activity Analysis

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Pedestrian navigation based on a waist-worn inertial sensor.

Juan Carlos Alvarez¹, Diego Alvarez, Antonio López

¹Multisensor Systems & Robotics Lab (SiMuR), Department of Electrical and Computer Engineering, University of Oviedo, Campus de Gijón, Edificio n°2, Gijón 33204, Spain. juan@uniovi.es

Sensors (Basel, Switzerland)

|November 1, 2012

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This study introduces a waist-worn navigation system using inertial sensors. It leverages human walking patterns and heel strike biomechanics to achieve precise pedestrian positioning for various applications.

Area of Science:

Biomechanical Engineering
Robotics
Sensor Fusion

Background:

Personal navigation systems often suffer from accumulated position errors.
Inertial Measurement Units (IMUs) offer a promising solution for autonomous navigation.

Purpose of the Study:

To develop a waist-worn personal navigation system using IMUs.
To reduce position errors by utilizing human bipedal locomotion patterns.
To improve algorithms for accurate step length and heading estimation.

Main Methods:

Utilized a waist-worn inertial measurement unit (IMU) system.
Developed algorithms incorporating heel strike biomechanics to identify zero velocity periods.
Integrated biomechanical data to refine step length and heading estimation.

Keywords:

ambulatory monitoring human motion inertial navigation localization location based services pedestrian dead-reckoning

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Last Updated: May 17, 2026

Home-Based Monitor for Gait and Activity Analysis

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Published on: August 8, 2019

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

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Main Results:

Demonstrated reduced position errors by exploiting bipedal gait characteristics.
Achieved high-resolution positioning suitable for diverse pedestrian navigation tasks.
Validated the effectiveness of biomechanically informed algorithms.

Conclusions:

The developed waist-worn system effectively supports pedestrian navigation.
Integration of biomechanics significantly enhances positioning accuracy.
This approach offers a viable solution for high-resolution personal navigation.