default search action
John McPhee 0001
Person information
- affiliation: University of Waterloo, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:26 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint