Smart Clothing for Human Movement Analysis: Future Application in Sport and Clinical Practice
Expert Review of Medical Devices
14 January 2025
Research in-progress
Hover or tap to view abstract
PhD: Can the DANU System Be Used Across Multiple Sports to Provide Lab-based Accuracy Within The Natural Sporting Environment
Commenced October 2023
PhD: Investigate if the DANU System Can be Utilised to Monitor Biomechanical Changes in Gait when Wearing the Super Spike Shoes
Commenced April 2024
Abstract:
The overall aim of this PhD is to investigate if the Danu system can be used to monitor biomechanical changes in gait and plyometrics to quantify performance outcomes by spatiotemporal and kinetic parameters across multiple movements that are dynamic and non-cyclical. This research will involve the development of machine learning models to accurately predict ground reaction forces and centre of pressure, across a series of movements and different footwear
Abstract:
The overall aim of this PhD is to investigate if the Danu software and hardware system can be used to monitor biomechanical changes in gait when wearing the super spike shoes. By quantifying performance outcomes such as speed, ground contact time, flight time, ankle kinematics, the research can investigate what differentiates super spike shoes (SSS) from other running spikes, with a particular focus around how four components (in-shoe pressure, shoe bending stiffness, anthropometric foot and leg length, Meta-Tarsal Phalangeal Joint flexion) biomechanically change an athlete’s sprint profile.
Abstract
Northumbria – Case study of using the DANU system to monitor active elderly individuals in their 70's living with Parkinson's disease
Commenced 2024
Abstract
Northumbria – Overground running assessment of runners and fatigue development during a 5K run and the impact on gait variability
Commenced
Abstract
Northumbria – Objective gait assessment with wearable sensors for clinical application in Parkinson’s disease: From validation to prediction of falls.
Commenced April 2025
Abstract
Liverpool John Moores University – Exploration of stair gait: progressing from the lab to the home setting
Commenced
Abstract
Oregon Health & Science University – Comparison and validation of the DANU system in a lab setting against their own IMU-only smart sock
Commenced
Abstract
National Orthopaedic Hospital Cappagh – Evaluating Gait and Mobility Outcomes in Individuals Post-Total Knee Replacement: A Case Study Analysis
Commenced January 2025
Abstract
DNI – This study aims to characterise gait in both clinical and home settings to identify gait parameters indicative of falls and contribute to the discovery of helpful biomarkers to improve Parkinson’s care.
Commenced April 2025
Abstract
Central Remedial Clinic – Research to investigate how foot-ankle orthoses can be customised based on pressure data collected by the DANU system
Commenced
Abstract
Herriot-Watt University – Gait analysis with VR integration, investigating ACL rehabilitation & injury forecasting in women's sports, and examining the effects of anti-Parkinsonian medication on gait mechanics.
Commenced
Abstract
Herriot-Watt University – Proof-of-concept case studies with stroke survivors and individuals living with Huntington's disease
Commenced
Abstract
University of Strathclyde – The DANU System: A Reliable Diagnostic Tool for Chronic Ankle Instability?
Commenced June 2025
Abstract
DANU – Validity and Reliability of the DANU System for Measuring Spatial Parameters in Overground and Treadmill Gait
Commenced March 2025
Abstract
DANU – Dynamic Movement Analysis in Team Sports: Testing the Validity and Reliability of the DANU System
Commenced November 2024
Abstract
DANU – Investigating Biomechanical Adaptations to Advanced Cushioning Technologies in Running Shoes Using DANU Sensors
Other on-going research includes:
DANU – Dynamic Movement Analysis in Team Sports: Testing the Validity and Reliability of the DANU System
DANU – Validity and Reliability of the DANU System for Measuring Spatial Parameters in Overground and Treadmill Gait
DANU – Investigating Biomechanical Adaptations to Advanced Cushioning Technologies in Running Shoes Using DANU Sensors
Northumbria – Smart clothing for human movement analysis: future application in sport and clinical practice
Northumbria – Case study of using the DANU system to monitor active elderly individuals in their 70's living with Parkinson's disease
Northumbria – Overground running assessment of runners and fatigue development during a 5K run and the impact on gait variability
Northumbria – Objective gait assessment with wearable sensors for clinical application in Parkinson’s disease: From validation to prediction of falls.
Liverpool John Moores University – Exploration of stair gait: progressing from the lab to the home setting.
Oregon Health & Science University – Comparison and validation of the DANU system in a lab setting against their own IMU-only smart sock
University of Limerick – Investigate if the DANU system can be utilised to monitor biomechanical changes in gait when wearing the super spike shoes.
Cappagh – Evaluating Gait and Mobility Outcomes in Individuals Post-Total Knee Replacement: A Case Study Analysis
UPMC Santry – Protocol for Pre- & Post-Operative Monitoring in ACL Surgery
Dublin Nuerological Institute – Objective gait assessment with wearable sensors for clinical application in populations with Parkinson's
Central Remedial Clinic – Research to investigate how foot-ankle orthoses can be customised based on pressure data collected by the DANU system
Herriot-Watt University – Multiple collaborations including gait analysis with VR integration, investigating ACL rehabilitation and and injury forecasting in women's sports, and examining the effects of anti-Parkinsonian medication on gait mechanics.
Herriot-Watt University – Proof-of-concept case studies with stroke survivors and individuals living with Huntington's disease
University of Strathclyde – The DANU System: A Reliable Diagnostic Tool for Chronic Ankle Instability?
We are open to more collaborations and would love to hear from you.