Philippe C. Dixon

Assistant Professor

McGill University

Canada

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About

Philippe C. Dixon is an Assistant Professor at McGill University in Canada. His research focuses on the application of machine learning and wearable sensors in movement analysis, particularly in relation to gait dynamics and joint kinematic modeling. Recent publications include studies on the influence of outdoor surfaces on gait and the development of prediction models for systemic inflammatory responses using wearable biosensors.

Articles (9)

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2024

Year:

2022

Collaborators (1)

Jean-Sebastien Roy

Professor

Laval University

CANADA

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Philippe C. Dixon

Research Interests

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Articles (9)

Bridging the Methodological Gap Between Inertial Sensors and Optical Motion Capture: Deep Learning as the Path to Accurate Joint Kinematic Modelling Using Inertial Sensors

Non-Linear Gait Dynamics Are Affected by Commonly Occurring Outdoor Surfaces and Sex in Healthy Adults

Development of machine learning prediction models for systemic inflammatory response following controlled exposure to a live attenuated influenza vaccine in healthy adults using multimodal wearable biosensors in Canada: a single-centre, prospective controlled trial

Influence of Gait Speed on Inter-Joint Coordination in People with and Without Parkinson’s Disease

Automatic cough detection via a multi-sensor smart garment using machine learning

Editorial for the Special Issue: "Wearable sensors for movement analysis in real-world environments: applications in clinical populations and disease management"

OpenOFM: an open-source implementation of the multi-segment Oxford Foot Model

Influence of Sudden Changes in Foot Strikes on Loading Rate Variability in Runners

The impact of outdoor walking surfaces on lower-limb coordination and variability during gait in healthy adults

Collaborators (1)

Jean-Sebastien Roy

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