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HasMotion Research

Developing new ways to understand human movement.

Our internal research section is dedicated to connecting user needs and unsolved problems with the software solutions. We do this in a couple different ways:

Foundational research for motion capture analysis

Collaboration with university researchers

Developing research results into new features

Individual Assessment from Biomechanical Waveforms

The goal of motion capture is often to assess an individual to understand their progress or decline and thereby make a decision. This assessment can involve comparisons of the individual with their past selves or against a normative control group. In either case, researchers and engineers must have a way of reliably scoring the similarity (or dissimilarity) between an individual observation and the control group.

 

This project investigates how best to describe these differences by implementing a suite of anomaly detection, data structuring, and other analysis techniques that are suitable for biomechanical waveforms.

Using Matrix Profile Discords for Event Detection in Treadmill Walking

Amy Coyle, Paula Branco, and Richard Hugh Moulton
International Society of Biomechanics 2025

Abstract

Assessing Different Kinematic Methods of Structuring Gait

Sharath Nandan, Amy Coyle, and Richard Hugh Moulton
Ontario Biomechanics Conference 2025

Abstract
Presentation

Landmark Registration Affects Non-Cyclic Activities More Than Cyclic Activities

Amy Coyle, Richard Hugh Moulton, and W. Scott Selbie
Canadian Society for Biomechanics/Société canadienne de biomécanique 2024

Abstract
Presentation

Biomechanical Analysis Techniques

The biomechanical literature includes several analysis techniques that have found widespread use in the community. Sometimes a support question is the spark to start us off on extending these techniques to new problems.

Continuous Margin of Stability: A Stride-to-Stride Interpretation of Dynamic Stability

Sydney Garrah, Amy Coyle, W. Scott Selbie, Richard Hugh Moulton

European Society for Movement Analysis in Adults and Children 2025

Abstract
Presentation

Directional Stability: A New Presentation of the Margin of Stability During Walking

Sydney Garrah, Amy Coyle, W. Scott Selbie, Richard Hugh Moulton

American Society of Biomechanics 2025

Poster
Presentation

Industrial Collaboration

HasMotion has participated as the industrial partner for several research grants since its founding in 2008. These grants have allowed us to contribute to university research programs, learn from experts outside our area, and foster a community dedicated to translating innovative research into new products and features

2012-13: Statistical Models for Establishing a Control Data set for Biomechanical Gait Analysis

This project developed quality assurance criteria for 3D motion capture data of human gait.

 

The result was an implementation of principal component analysis for biomechanical waveforms along with associated quality assurance techniques. This was commercialized as part of C-Motion’s Inspect3D application.

This project developed commercial biomechanics products based on inertial sensors for 3D joint kinematics estimation of human movement.

This project aimed to determine whether the positive effects of the knee braces are due to the altered walking patterns or the force applied to the knee.

This project developed a novel sensor fusion approach using Bayesian principles, Kalman filters and dual quaternions to obtain optimal estimates of pose from different sensors.

This project developed a simple, camera-based anatomical calibration protocol to process inertial sensor data and obtain anatomical poses for body segments.

This project aimed to extend a 3D markerless motion capture system to include tracking for hands interacting with objects and the environment.

This project verified the accuracy, repeatability, and reliability of a 3D markerless motion capture system in the context of assessing movement adaptations or compensations associated with osteoarthritis.


The result was Theia3D, a markerless motion capture system that was spun-off as a separate company in 2020, along with the initial peer-reviewed validation of this system, Kanko et al.’s 2021 paper “Concurrent assessment of gait kinematics using marker-based and markerless motion capture.“

Datasets

Our research program leverages a number of open data sets. We are grateful to all of the researchers who have collected this data and taken the extra step to share it with the wider research community.