Jacob A. George

Orcid: 0000-0001-5918-4316

According to our database1, Jacob A. George authored at least 21 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Correcting Temporal Inaccuracies in Labeled Training Data for Electromyographic Control Algorithms.
Proceedings of the International Conference on Rehabilitation Robotics, 2023

Wrist EMG Improves Gesture Classification for Stroke Patients.
Proceedings of the International Conference on Rehabilitation Robotics, 2023

Intuitive, Myoelectric Control of Adaptive Sports Equipment for Individuals with Tetraplegia.
Proceedings of the International Conference on Rehabilitation Robotics, 2023

Automated Quantifiable Assessments of Sensorimotor Function Using an Instrumented Fragile Object.
Proceedings of the International Conference on Rehabilitation Robotics, 2023

Delayed Muscle Activity in Stroke Survivors with Upper-Limb Hemiparesis.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Impaired Discrimination of Electrocutaneous Stimulation in the Paretic Hand of Stroke Survivors.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
A Multi-User Transradial Functional-Test Socket for Validation of New Myoelectric Prosthetic Control Strategies.
Frontiers Neurorobotics, September, 2022

2021
Robust Torque Predictions From Electromyography Across Multiple Levels of Active Exoskeleton Assistance Despite Non-linear Reorganization of Locomotor Output.
Frontiers Neurorobotics, 2021

A Recurrent Neural Network Provides Stable Across-Day Prosthetic Control for a Human Amputee with Implanted Intramuscular Electromyographic Recording Leads.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Bionic Hand for Semi-Autonomous Fragile Object Manipulation via Proximity and Pressure Sensors.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Portable Take-Home System Enables Proportional Control and High-Resolution Data Logging With a Multi-Degree-of-Freedom Bionic Arm.
Frontiers Robotics AI, 2020

Discrimination Among Multiple Cutaneous and Proprioceptive Hand Percepts Evoked by Nerve Stimulation with Utah Slanted Electrode Arrays in Human Amputees.
CoRR, 2020

Inexpensive surface electromyography sleeve with consistent electrode placement enables dexterous and stable prosthetic control through deep learning.
CoRR, 2020

Inexpensive and Portable System for Dexterous High-Density Myoelectric Control of Multiarticulate Prostheses.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Bilaterally Mirrored Movements Improve the Accuracy and Precision of Training Data for Supervised Learning of Neural or Myoelectric Prosthetic Control.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Intensity Discriminability of Electrocutaneous and Intraneural Stimulation Pulse Frequency in Intact Individuals and Amputees.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Biomimetic sensory feedback through peripheral nerve stimulation improves dexterous use of a bionic hand.
Sci. Robotics, 2019

A Modular Transradial Bypass Socket for Surface Myoelectric Prosthetic Control in Non-Amputees.
CoRR, 2019

Intuitive Neuromyoelectric Control of a Dexterous Bionic Arm Using a Modified Kalman Filter.
CoRR, 2019

2018
Improved Training Paradigms and Motor-decode Algorithms: Results from Intact Individuals and a Recent Transradial Amputee with Prior Complex Regional Pain Syndrome.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Polynomial Kalman filter for myoelectric prosthetics using efficient kernel ridge regression.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017


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