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Related Experiment Video

Updated: Jan 9, 2026

Home-Based Monitor for Gait and Activity Analysis

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Ultra-Wideband Radar-based Gait Analysis System for Non-Contact Knee Angle Monitoring.

Dilshan N Wickramarachchi, Gokul Thangavel, Robert A Brown

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 3, 2025

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Ultra-wideband radar offers a novel way to analyze walking gait and estimate knee angles. This technology moves gait analysis beyond lab settings, enabling remote monitoring in real-world environments.

Area of Science:

Biomechanics
Sensor Technology
Artificial Intelligence

Background:

Clinical gait analysis relies on knee angle variations, typically measured by marker-based motion capture.
Current methods face limitations such as being labor-intensive, confined to labs, and requiring specific environmental conditions (lighting, line-of-sight).
Ultra-wideband (UWB) radar presents a promising alternative to overcome these constraints for gait analysis.

Purpose of the Study:

To introduce a novel Ultra-wideband (UWB) radar-based system for capturing walking gait and estimating knee angles.
To develop and validate a new detection intensity level algorithm (DILA) and a PointNet-inspired neural network (DIL-PointNet) for accurate knee angle measurement.
To assess the system's potential for long-term, remote gait monitoring outside of controlled laboratory settings.

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Published on: November 7, 2014

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

Related Experiment Videos

Last Updated: Jan 9, 2026

Home-Based Monitor for Gait and Activity Analysis

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Clinical Assessment of Spatiotemporal Gait Parameters in Patients and Older Adults

Published on: November 7, 2014

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Clinical-oriented Three-dimensional Gait Analysis Method for Evaluating Gait Disorder

Published on: March 4, 2018

Main Methods:

Development of a UWB radar system for gait data acquisition.
Implementation of a novel Detection Intensity Level Algorithm (DILA) for processing radar signals.
Integration of a PointNet-inspired neural network (DIL-PointNet) for 3D point cloud registration and knee angle estimation.
Validation of the UWB system against a gold-standard marker-based motion capture system (Qualisys).

Main Results:

The proposed UWB radar system successfully captured walking gait data.
The DIL-PointNet model achieved accurate knee angle estimations.
Validation against marker-based systems yielded a Mean Absolute Error (MAE) of 7.9° and a Root Mean Squared Error (RMSE) of 11.1°.
The system demonstrated effectiveness in registering detections in 3D space.

Conclusions:

The UWB radar-based gait analysis system provides a viable alternative to traditional methods.
The developed DILA and DIL-PointNet algorithm show significant potential for accurate knee angle estimation.
This technology enables remote and long-term gait monitoring in real-world environments, overcoming previous limitations.