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ORCIDJohn McPhee 0001
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- affiliation: University of Waterloo, Canada
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2020 – today
- 2024
[j18]Ali Nasr
, Clark R. Dickerson, John McPhee:
Experimental Study of Fully Passive, Fully Active, and Active-Passive Upper-Limb Exoskeleton Efficiency: An Assessment of Lifting Tasks. Sensors 24(1): 63 (2024)- [d3]Brokoslaw Laschowski, William J. McNally, Alexander Wong, John McPhee:
ExoNet Database: Wearable Camera Images of Human Locomotion Environments. IEEE DataPort, 2024
- 2023
- [j17]Bharath Krishnan, Serena Zanelli, Sofiane Boudaoud, Léa Scapucciati, John McPhee, Ning Jiang:
Age-sensitive high density surface electromyogram indices for detecting muscle fatigue using core shape modelling. Biomed. Signal Process. Control. 81: 104446 (2023) - [c30]Kevin Zhu, Alexander Wong, John McPhee:
VICE: View-Invariant Chess Estimation. icSPORTS 2023: 50-60 - [c29]Naoto Haraguchi, Ali Nasr, Keaton A. Inkol, Kazunori Hase, John McPhee:
Human and Passive Lower-Limb Exoskeleton Interaction Analysis: Computational Study with Dynamics Simulation using Nonlinear Model Predictive Control. SICE 2023: 844-849 - 2022
- [j16]Ali Nasr, Arash Hashemi, John McPhee:
Model-Based Mid-Level Regulation for Assist-As-Needed Hierarchical Control of Wearable Robots: A Computational Study of Human-Robot Adaptation. Robotics 11(1): 20 (2022) - [j15]Yuan Lin, John McPhee, Nasser L. Azad:
Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle Power Split Using Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 71(7): 6958-6968 (2022) - [c28]Keaton A. Inkol, John McPhee:
Using Dynamic Simulations to Estimate the Feasible Stability Region of Feet-In-Place Balance Recovery for Lower-Limb Exoskeleton Users. BioRob 2022: 1-6 - [c27]Brokoslaw Laschowski, Keaton A. Inkol, Alex Mihailidis, John McPhee:
Simulation of Energy Regeneration in Human Locomotion for Efficient Exoskeleton Actuation. BioRob 2022: 1-8 - [c26]Kevin Zhu, Alexander Wong, John McPhee:
FenceNet: Fine-grained Footwork Recognition in Fencing. CVPR Workshops 2022: 3588-3597 - [c25]William J. McNally, Kanav Vats, Alexander Wong, John McPhee:
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-person Human Pose Estimation. ECCV (6) 2022: 37-54 - [c24]Kawtar Ghiatt, Ahmad Diab, Sofiane Boudaoud, Kiyoka Kinugawa, John McPhee, Ning Jiang:
Nonlinear Methods on HD-sEMG Signals for Aging Effect Evaluation During Isometric Contractions of the Biceps Brachii. ICIRA (4) 2022: 354-362 - [d2]Brokoslaw Laschowski, William J. McNally, Alexander Wong, John McPhee:
ExoNet Database: Wearable Camera Images of Human Locomotion Environments. IEEE DataPort, 2022 - [d1]Brokoslaw Laschowski, Reza Sharif Razavian, John McPhee:
Measurement and Simulation of Human Sitting and Standing Movement Biomechanics. IEEE DataPort, 2022 - [i10]Yuan Lin, John McPhee, Nasser L. Azad:
Co-Optimization of On-Ramp Merging and Plug-In Hybrid Electric Vehicle Power Split Using Deep Reinforcement Learning. CoRR abs/2203.03113 (2022) - [i9]Kevin Zhu, Alexander Wong, John McPhee:
FenceNet: Fine-grained Footwork Recognition in Fencing. CoRR abs/2204.09434 (2022) - 2021
- [j14]William J. McNally, Kanav Vats, Alexander Wong, John McPhee:
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation Using Accelerated Neuroevolution With Weight Transfer. IEEE Access 9: 139403-139414 (2021) - [j13]Ali Nasr, Keaton A. Inkol, Sydney Bell, John McPhee:
InverseMuscleNET: Alternative Machine Learning Solution to Static Optimization and Inverse Muscle Modeling. Frontiers Comput. Neurosci. 15: 759489 (2021) - [j12]Brokoslaw Laschowski, William J. McNally, Alexander Wong, John McPhee:
Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks. Frontiers Neurorobotics 15: 730965 (2021) - [j11]Yuan Lin, John McPhee, Nasser L. Azad:
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control. IEEE Trans. Intell. Veh. 6(2): 221-231 (2021) - [c23]William J. McNally, Pascale Walters, Kanav Vats, Alexander Wong, John McPhee:
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts Using a Single Camera. CVPR Workshops 2021: 4547-4556 - [c22]Brokoslaw Laschowski, William J. McNally, Alexander Wong, John McPhee:
Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons. EMBC 2021: 4631-4635 - [c21]Keaton A. Inkol, John McPhee:
Simulating Human Upper and Lower Limb Balance Recovery Responses Using Nonlinear Model Predictive Control. EMBC 2021: 4717-4721 - [c20]Arash Hashemi, John McPhee:
Assistive Sliding Mode Control of a Rehabilitation Robot with Automatic Weight Adjustment. EMBC 2021: 4891-4896 - [i8]William J. McNally, Pascale Walters, Kanav Vats, Alexander Wong, John McPhee:
DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts using a Single Camera. CoRR abs/2105.09880 (2021) - [i7]William J. McNally, Kanav Vats, Alexander Wong, John McPhee:
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation. CoRR abs/2111.08557 (2021) - 2020
- [j10]Mohammad S. Shourijeh, Naser Mehrabi, John McPhee, Benjamin J. Fregly:
Editorial: Advances in Musculoskeletal Modeling and Their Application to Neurorehabilitation. Frontiers Neurorobotics 14: 65 (2020) - [j9]Brock Laschowski, William J. McNally, Alexander Wong, John McPhee:
ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers Robotics AI 7: 562061 (2020) - [c19]Keaton A. Inkol, John McPhee:
Assessing Control of Fixed-Support Balance Recovery in Wearable Lower-Limb Exoskeletons Using Multibody Dynamic Modelling. BioRob 2020: 54-60 - [c18]Brock Laschowski, William J. McNally, Alexander Wong, John McPhee:
Comparative Analysis of Environment Recognition Systems for Control of Lower-Limb Exoskeletons and Prostheses. BioRob 2020: 581-586 - [c17]Yuan Lin, John McPhee, Nasser L. Azad:
Anti-Jerk On-Ramp Merging Using Deep Reinforcement Learning. IV 2020: 7-14 - [i6]William J. McNally, Kanav Vats, Alexander Wong, John McPhee:
EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution. CoRR abs/2011.08446 (2020)
2010 – 2019
- 2019
- [j8]Reza Sharif Razavian, Borna Ghannadi, John McPhee:
On the Relationship Between Muscle Synergies and Redundant Degrees of Freedom in Musculoskeletal Systems. Frontiers Comput. Neurosci. 13: 23 (2019) - [c16]William J. McNally, Alexander Wong, John McPhee:
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection. CRV 2019: 49-56 - [c15]William J. McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong:
GolfDB: A Video Database for Golf Swing Sequencing. CVPR Workshops 2019: 2553-2562 - [c14]Brock Laschowski, William J. McNally, Alexander Wong, John McPhee:
Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. ICORR 2019: 868-873 - [c13]Yuan Lin, John McPhee, Nasser L. Azad:
Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning. ITSC 2019: 1504-1510 - [i5]William J. McNally, Alexander Wong, John McPhee:
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection. CoRR abs/1902.10024 (2019) - [i4]William J. McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong:
GolfDB: A Video Database for Golf Swing Sequencing. CoRR abs/1903.06528 (2019) - [i3]Yuan Lin, John McPhee, Nasser L. Azad:
Longitudinal Dynamic versus Kinematic Models for Car-following Control Using Deep Reinforcement Learning. CoRR abs/1905.08314 (2019) - [i2]Yuan Lin, John McPhee, Nasser L. Azad:
Decision-Making and Control for Freeway On-Ramp Merging Using Deep Reinforcement Learning. CoRR abs/1909.12967 (2019) - [i1]Yuan Lin, John McPhee, Nasser L. Azad:
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control. CoRR abs/1910.12047 (2019) - 2018
- [j7]Borna Ghannadi, Reza Sharif Razavian, John McPhee:
Configuration-Dependent Optimal Impedance Control of an Upper Extremity Stroke Rehabilitation Manipulandum. Frontiers Robotics AI 5: 124 (2018) - [j6]Jason Krause, John McPhee:
Onboard Energy Storage Systems: Ground-Fault Detection and Protection. IEEE Veh. Technol. Mag. 13(1): 114-119 (2018) - [c12]Anson Maitland, Mohit Batra, John McPhee:
Nonlinear Model Predictive Control Reduction Using Truncated Single Shooting. ACC 2018: 3165-3170 - [c11]Mohit Batra, Anson Maitland, John McPhee, Nasser L. Azad:
Non-Linear Model Predictive Anti-Jerk Cruise Control for Electric Vehicles with Slip-Based Constraints. ACC 2018: 3915-3920 - 2017
- [c10]Mohit Batra, John McPhee, Nasser L. Azad:
Anti-jerk model predictive cruise control for connected electric vehicles with changing road conditions. ASCC 2017: 49-54 - [c9]S. Amir Mousavi Lajimi, John McPhee:
A comprehensive filter to reduce drift from Euler angles, velocity, and position using an IMU. CCECE 2017: 1-6 - [c8]Anson Maitland, John McPhee:
Improving model predictive controller turnaround time using restricted Lagrangians. CDC 2017: 3811-3816 - [c7]Reza Sharif Razavian, Borna Ghannadi, John McPhee:
Feedback control of functional electrical stimulation for arbitrary upper extremity movements. ICORR 2017: 1451-1456 - [c6]Borna Ghannadi, Naser Mehrabi, Reza Sharif Razavian, John McPhee:
Nonlinear model predictive control of an upper extremity rehabilitation robot using a two-dimensional human-robot interaction model. IROS 2017: 502-507 - 2016
- [j5]Naser Mehrabi, Reza Sharif Razavian, Borna Ghannadi, John McPhee:
Predictive Simulation of Reaching Moving Targets Using Nonlinear Model Predictive Control. Frontiers Comput. Neurosci. 10: 143 (2016) - 2015
- [j4]Reza Sharif Razavian, Naser Mehrabi, John McPhee:
A model-based approach to predict muscle synergies using optimization: application to feedback control. Frontiers Comput. Neurosci. 9: 121 (2015) - [c5]Amir Taghavipour, Nasser L. Azad, John McPhee:
Multi-parametric energy management system with reduced computational complexity for plug-in hybrid electric vehicles. ECC 2015: 3377-3382 - 2014
- [c4]Mahyar Vajedi, Amir Taghavipour, Nasser L. Azad, John McPhee:
A comparative analysis of route-based power management strategies for real-time application in plug-in hybrid electric vehicles. ACC 2014: 2612-2617 - 2012
- [c3]Reza Razavian, Nasser L. Azad, John McPhee:
On real-time optimal control of a series Hybrid Electric Vehicle with an ultra-capacitor. ACC 2012: 547-552 - 2011
- [c2]Naser Mehrabi, Nasser L. Azad, John McPhee:
Optimal disturbance rejection control design for Electric Power Steering systems. CDC/ECC 2011: 6584-6589
2000 – 2009
- 2008
- [j3]Chad Schmitke, John McPhee:
Using linear graph theory and the principle of orthogonality to model multibody, multi-domain systems. Adv. Eng. Informatics 22(2): 147-160 (2008) - [j2]Mike Peasgood, Christopher Michael Clark, John McPhee:
A Complete and Scalable Strategy for Coordinating Multiple Robots Within Roadmaps. IEEE Trans. Robotics 24(2): 283-292 (2008) - 2007
- [j1]Marc J. Richard, John J. McPhee, Ronald J. Anderson:
Computerized generation of motion equations using variational graph-theoretic methods. Appl. Math. Comput. 192(1): 135-156 (2007) - 2004
- [c1]Wenqin Zhou, David J. Jeffrey, Gregory J. Reid, Chad Schmitke, John McPhee:
Implicit Reduced Involutive Forms and Their Application to Engineering Multibody Systems. IWMM/GIAE 2004: 31-43
Coauthor Index
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last updated on 2024-10-07 21:26 CEST by the dblp team
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