John McPhee

Orcid: 0000-0003-3908-9519

Affiliations:
  • University of Waterloo, Canada


According to our database1, John McPhee authored at least 52 papers between 2004 and 2024.

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Bibliography

2024
Experimental Study of Fully Passive, Fully Active, and Active-Passive Upper-Limb Exoskeleton Efficiency: An Assessment of Lifting Tasks.
Sensors, 2024

2023
Age-sensitive high density surface electromyogram indices for detecting muscle fatigue using core shape modelling.
Biomed. Signal Process. Control., March, 2023

Human and Passive Lower-Limb Exoskeleton Interaction Analysis: Computational Study with Dynamics Simulation using Nonlinear Model Predictive Control.
Proceedings of the 62nd Annual Conference of the Society of Instrument and Control Engineers, 2023

VICE: View-Invariant Chess Estimation.
Proceedings of the 11th International Conference on Sport Sciences Research and Technology Support, 2023

2022
ExoNet Database: Wearable Camera Images of Human Locomotion Environments.
Dataset, April, 2022

Measurement and Simulation of Human Sitting and Standing Movement Biomechanics.
Dataset, February, 2022

Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle Power Split Using Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., 2022

Model-Based Mid-Level Regulation for Assist-As-Needed Hierarchical Control of Wearable Robots: A Computational Study of Human-Robot Adaptation.
Robotics, 2022

Nonlinear Methods on HD-sEMG Signals for Aging Effect Evaluation During Isometric Contractions of the Biceps Brachii.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-person Human Pose Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

FenceNet: Fine-grained Footwork Recognition in Fencing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Simulation of Energy Regeneration in Human Locomotion for Efficient Exoskeleton Actuation.
Proceedings of the 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2022

Using Dynamic Simulations to Estimate the Feasible Stability Region of Feet-In-Place Balance Recovery for Lower-Limb Exoskeleton Users.
Proceedings of the 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2022

2021
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control.
IEEE Trans. Intell. Veh., 2021

Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks.
Frontiers Neurorobotics, 2021

InverseMuscleNET: Alternative Machine Learning Solution to Static Optimization and Inverse Muscle Modeling.
Frontiers Comput. Neurosci., 2021

EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation Using Accelerated Neuroevolution With Weight Transfer.
IEEE Access, 2021

Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Simulating Human Upper and Lower Limb Balance Recovery Responses Using Nonlinear Model Predictive Control.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Assistive Sliding Mode Control of a Rehabilitation Robot with Automatic Weight Adjustment.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts Using a Single Camera.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
ExoNet Database: Wearable Camera Images of Human Locomotion Environments.
Frontiers Robotics AI, 2020

Editorial: Advances in Musculoskeletal Modeling and Their Application to Neurorehabilitation.
Frontiers Neurorobotics, 2020

EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution.
CoRR, 2020

Anti-Jerk On-Ramp Merging Using Deep Reinforcement Learning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Comparative Analysis of Environment Recognition Systems for Control of Lower-Limb Exoskeletons and Prostheses.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

Assessing Control of Fixed-Support Balance Recovery in Wearable Lower-Limb Exoskeletons Using Multibody Dynamic Modelling.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020

2019
On the Relationship Between Muscle Synergies and Redundant Degrees of Freedom in Musculoskeletal Systems.
Frontiers Comput. Neurosci., 2019

Decision-Making and Control for Freeway On-Ramp Merging Using Deep Reinforcement Learning.
CoRR, 2019

Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons.
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019

GolfDB: A Video Database for Golf Swing Sequencing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection.
Proceedings of the 16th Conference on Computer and Robot Vision, 2019

2018
Onboard Energy Storage Systems: Ground-Fault Detection and Protection.
IEEE Veh. Technol. Mag., 2018

Configuration-Dependent Optimal Impedance Control of an Upper Extremity Stroke Rehabilitation Manipulandum.
Frontiers Robotics AI, 2018

Nonlinear Model Predictive Control Reduction Using Truncated Single Shooting.
Proceedings of the 2018 Annual American Control Conference, 2018

Non-Linear Model Predictive Anti-Jerk Cruise Control for Electric Vehicles with Slip-Based Constraints.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Nonlinear model predictive control of an upper extremity rehabilitation robot using a two-dimensional human-robot interaction model.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Feedback control of functional electrical stimulation for arbitrary upper extremity movements.
Proceedings of the International Conference on Rehabilitation Robotics, 2017

Improving model predictive controller turnaround time using restricted Lagrangians.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A comprehensive filter to reduce drift from Euler angles, velocity, and position using an IMU.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

Anti-jerk model predictive cruise control for connected electric vehicles with changing road conditions.
Proceedings of the 11th Asian Control Conference, 2017

2016
Predictive Simulation of Reaching Moving Targets Using Nonlinear Model Predictive Control.
Frontiers Comput. Neurosci., 2016

2015
A model-based approach to predict muscle synergies using optimization: application to feedback control.
Frontiers Comput. Neurosci., 2015

Multi-parametric energy management system with reduced computational complexity for plug-in hybrid electric vehicles.
Proceedings of the 14th European Control Conference, 2015

2014
A comparative analysis of route-based power management strategies for real-time application in plug-in hybrid electric vehicles.
Proceedings of the American Control Conference, 2014

2012
On real-time optimal control of a series Hybrid Electric Vehicle with an ultra-capacitor.
Proceedings of the American Control Conference, 2012

2011
Optimal disturbance rejection control design for Electric Power Steering systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2008
A Complete and Scalable Strategy for Coordinating Multiple Robots Within Roadmaps.
IEEE Trans. Robotics, 2008

Using linear graph theory and the principle of orthogonality to model multibody, multi-domain systems.
Adv. Eng. Informatics, 2008

2007
Computerized generation of motion equations using variational graph-theoretic methods.
Appl. Math. Comput., 2007

2004
Implicit Reduced Involutive Forms and Their Application to Engineering Multibody Systems.
Proceedings of the Computer Algebra and Geometric Algebra with Applications, 2004


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