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Philippe C Dixon

Showing results (1-10 of 42) with videos related to

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Plos One|January 3, 2018
The effect of subject measurement error on joint kinematics in the conventional gait model: Insights from the open-source pyCGM tool using high performance computing methodsMathew Schwartz, Philippe C Dixon
Journal of Biomechanics|April 27, 2024
The effect of time normalization and biomechanical signal processing techniques of ground reaction force curves on deep-learning model performanceOussama Jlassi, Philippe C Dixon
Journal of Applied Biomechanics|February 12, 2010
Gait dynamics on a cross-slope walking surfacePhilippe C Dixon, David J Pearsall
Sensors (Basel, Switzerland)|September 27, 2025
Bridging the Methodological Gap Between Inertial Sensors and Optical Motion Capture: Deep Learning as the Path to Accurate Joint Kinematic Modelling Using Inertial SensorsVaibhav R Shah, Philippe C Dixon
Mayo Clinic Proceedings. Digital Health|April 10, 2025
Gait Speed and Task Specificity in Predicting Lower-Limb Kinematics: A Deep Learning Approach Using Inertial SensorsVaibhav R Shah, Philippe C Dixon
Journal of Biomechanics|February 7, 2012
Ankle and midfoot kinetics during normal gait: a multi-segment approachPhilippe C Dixon, Harald Böhm, Leonhard Döderlein
Scientific Data|August 14, 2024
The NACOB multi-surface walking datasetOussama Jlassi, Vaibhav Shah, Philippe C Dixon
Frontiers in Robotics and AI|December 19, 2024
L-AVATeD: The lidar and visual walking terrain datasetDavid Whipps, Patrick Ippersiel, Philippe C Dixon
Journal of Biomechanics|May 15, 2023
Estimating individual minimum calibration for deep-learning with predictive performance recovery: An example case of gait surface classification from wearable sensor gait dataGuillaume Lam, Irina Rish, Philippe C Dixon
Sensors (Basel, Switzerland)|July 12, 2025
Non-Linear Gait Dynamics Are Affected by Commonly Occurring Outdoor Surfaces and Sex in Healthy AdultsJill Emmerzaal, Patrick Ippersiel, Philippe C Dixon
Pageof 5

Showing results (1-10 of 42) with videos related to

Sort By:
Pageof 5
Plos One|January 3, 2018
The effect of subject measurement error on joint kinematics in the conventional gait model: Insights from the open-source pyCGM tool using high performance computing methodsMathew Schwartz, Philippe C Dixon
Journal of Biomechanics|April 27, 2024
The effect of time normalization and biomechanical signal processing techniques of ground reaction force curves on deep-learning model performanceOussama Jlassi, Philippe C Dixon
Journal of Applied Biomechanics|February 12, 2010
Gait dynamics on a cross-slope walking surfacePhilippe C Dixon, David J Pearsall
Sensors (Basel, Switzerland)|September 27, 2025
Bridging the Methodological Gap Between Inertial Sensors and Optical Motion Capture: Deep Learning as the Path to Accurate Joint Kinematic Modelling Using Inertial SensorsVaibhav R Shah, Philippe C Dixon
Mayo Clinic Proceedings. Digital Health|April 10, 2025
Gait Speed and Task Specificity in Predicting Lower-Limb Kinematics: A Deep Learning Approach Using Inertial SensorsVaibhav R Shah, Philippe C Dixon
Journal of Biomechanics|February 7, 2012
Ankle and midfoot kinetics during normal gait: a multi-segment approachPhilippe C Dixon, Harald Böhm, Leonhard Döderlein
Scientific Data|August 14, 2024
The NACOB multi-surface walking datasetOussama Jlassi, Vaibhav Shah, Philippe C Dixon
Frontiers in Robotics and AI|December 19, 2024
L-AVATeD: The lidar and visual walking terrain datasetDavid Whipps, Patrick Ippersiel, Philippe C Dixon
Journal of Biomechanics|May 15, 2023
Estimating individual minimum calibration for deep-learning with predictive performance recovery: An example case of gait surface classification from wearable sensor gait dataGuillaume Lam, Irina Rish, Philippe C Dixon
Sensors (Basel, Switzerland)|July 12, 2025
Non-Linear Gait Dynamics Are Affected by Commonly Occurring Outdoor Surfaces and Sex in Healthy AdultsJill Emmerzaal, Patrick Ippersiel, Philippe C Dixon
Pageof 5