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Aaron J. Young
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2020 – today
- 2024
- [j25]Christoph P. O. Nuesslein
, Aaron J. Young
A Deep Learning Framework for End-to-End Control of Powered Prostheses. IEEE Robotics Autom. Lett. 9(5): 3988-3994 (2024) - [j24]Jennifer K. Leestma
Dynamic Duo: Design and Validation of an Autonomous Frontal and Sagittal Actuating Hip Exoskeleton for Balance Modulation During Perturbed Locomotion. IEEE Robotics Autom. Lett. 9(5): 3995-4002 (2024) - [j23]Dean D. Molinaro
Estimating human joint moments unifies exoskeleton control, reducing user effort. Sci. Robotics 9(88) (2024) - [j22]Keaton Scherpereel
Improving Biological Joint Moment Estimation During Real-World Tasks With EMG and Instrumented Insoles. IEEE Trans. Biomed. Eng. 71(9): 2718-2727 (2024) - [c17]C. Johnson
Accelerating Constrained Continual Learning with Dynamic Active Learning: A Study in Adaptive Speed Estimation for Lower-Limb Prostheses. ISMR 2024: 1-8 - 2023
- [j21]Rachel Gehlhar
A review of current state-of-the-art control methods for lower-limb powered prostheses. Annu. Rev. Control. 55: 142-164 (2023) - [j20]Benjamin A. Shafer
Emulator-Based Optimization of a Semi-Active Hip Exoskeleton Concept: Sweeping Impedance Across Walking Speeds. IEEE Trans. Biomed. Eng. 70(1): 271-282 (2023) - [j19]Dawit Lee
Reducing Knee Hyperextension With an Exoskeleton in Children and Adolescents With Genu Recurvatum: A Feasibility Study. IEEE Trans. Biomed. Eng. 70(12): 3312-3320 (2023) - [c16]Dean D. Molinaro, Ethan O. Park, Aaron J. Young:
Anticipation and Delayed Estimation of Sagittal Plane Human Hip Moments using Deep Learning and a Robotic Hip Exoskeleton. ICRA 2023: 12679-12685 - [c15]C. Johnson
Adaptive Lower-Limb Prosthetic Control: Towards Personalized Intent Recognition & Context Estimation. ISMR 2023: 1-7 - [c14]Dawit Lee, Inseung Kang
User and Environmental Context Adaptive Knee Exoskeleton Assistance using Electromyography. ISMR 2023: 1-6 - 2022
- [j18]Max K. Shepherd
Deep Learning Enables Exoboot Control to Augment Variable-Speed Walking. IEEE Robotics Autom. Lett. 7(2): 3571-3577 (2022) - [j17]Hyeon Ki Jeong
Quantifying Asymmetry Between Medial and Lateral Compartment Knee Loading Forces Using Acoustic Emissions. IEEE Trans. Biomed. Eng. 69(4): 1541-1551 (2022) - [j16]Inseung Kang
Subject-Independent Continuous Locomotion Mode Classification for Robotic Hip Exoskeleton Applications. IEEE Trans. Biomed. Eng. 69(10): 3234-3242 (2022) - [j15]Jared M. Li
Design and Validation of a Cable-Driven Asymmetric Back Exosuit. IEEE Trans. Robotics 38(3): 1489-1502 (2022) - [c13]Jonathan Camargo, Krishan Bhakta, Jairo Maldonado-Contreras, Sixu Zhou, Kinsey Herrin, Aaron J. Young:
OpenSim Model for Biomechanical Analysis with the Open-Source Bionic Leg. ISMR 2022: 1-6 - [c12]Hang Man Cho, Inseung Kang
Real-Time Walk Detection for Robotic Hip Exoskeleton Applications. ISMR 2022: 1-5 - [d1]Jonathan Camargo
Feature tables and source code for Camargo et al. A Machine Learning Strategy for Locomotion Classification and Parameter Estimation using Fusion of Wearable Sensors. Transactions on Biomedical Engineering. 2021. IEEE DataPort, 2022 - 2021
- [j14]Inseung Kang
Real-Time Gait Phase Estimation for Robotic Hip Exoskeleton Control During Multimodal Locomotion. IEEE Robotics Autom. Lett. 6(2): 3491-3497 (2021) - [j13]Dawit Lee
Real-Time User-Independent Slope Prediction Using Deep Learning for Modulation of Robotic Knee Exoskeleton Assistance. IEEE Robotics Autom. Lett. 6(2): 3995-4000 (2021) - [j12]Krishan Bhakta
Evaluation of Continuous Walking Speed Determination Algorithms and Embedded Sensors for a Powered Knee & Ankle Prosthesis. IEEE Robotics Autom. Lett. 6(3): 4820-4826 (2021) - [j11]Nicholas B. Bolus
Fit to Burst: Toward Noninvasive Estimation of Achilles Tendon Load Using Burst Vibrations. IEEE Trans. Biomed. Eng. 68(2): 470-481 (2021) - [j10]Jonathan Camargo
A Machine Learning Strategy for Locomotion Classification and Parameter Estimation Using Fusion of Wearable Sensors. IEEE Trans. Biomed. Eng. 68(5): 1569-1578 (2021) - [j9]Dawit Lee
Biomechanical Comparison of Assistance Strategies Using a Bilateral Robotic Knee Exoskeleton. IEEE Trans. Biomed. Eng. 68(9): 2870-2879 (2021) - [j8]Aakash Bajpai
Influencing Human Escape Maneuvers With Perceptual Cues in the Presence of a Visual Task. IEEE Trans. Hum. Mach. Syst. 51(6): 715-724 (2021) - [j7]Md. Mobashir Hasan Shandhi
Estimation of Instantaneous Oxygen Uptake During Exercise and Daily Activities Using a Wearable Cardio-Electromechanical and Environmental Sensor. IEEE J. Biomed. Health Informatics 25(3): 634-646 (2021) - [c11]Gayeon Choi, Dawit Lee, Inseung Kang
Effect of Assistance Timing in Knee Extensor Muscle Activation During Sit-to-Stand Using a Bilateral Robotic Knee Exoskeleton. EMBC 2021: 4879-4882 - [c10]Heejoo Jin, Inseung Kang
Wearable Sensor-Based Step Length Estimation During Overground Locomotion Using a Deep Convolutional Neural Network. EMBC 2021: 4897-4900 - 2020
- [j6]Krishan Bhakta
Machine Learning Model Comparisons of User Independent & Dependent Intent Recognition Systems for Powered Prostheses. IEEE Robotics Autom. Lett. 5(4): 5393-5400 (2020) - [j5]Aakash Bajpai
Enhancing Physical Human Evasion of Moving Threats Using Tactile Cues. IEEE Trans. Haptics 13(1): 32-37 (2020) - [c9]Inseung Kang
Continuous locomotion mode classification using a robotic hip exoskeleton. BioRob 2020: 376-381 - [c8]Dean D. Molinaro, Inseung Kang
Biological Hip Torque Estimation using a Robotic Hip Exoskeleton. BioRob 2020: 791-796
2010 – 2019
- 2019
- [j4]Inseung Kang
The Effect of Hip Assistance Levels on Human Energetic Cost Using Robotic Hip Exoskeletons. IEEE Robotics Autom. Lett. 4(2): 430-437 (2019) - [c7]Hao Zheng, Tao Shen
A Semi-Wearable Robotic Device for Sit-to-Stand Assistance. ICORR 2019: 204-209 - [c6]Inseung Kang
Electromyography (EMG) Signal Contributions in Speed and Slope Estimation Using Robotic Exoskeletons. ICORR 2019: 548-553 - 2017
- [c5]Jonathan Camargo, Aaron J. Young:
Combined Strategy of Machine Vision with a Robotic Assistant for Nail Biting Prevention. CRV 2017: 205-208 - 2016
- [c4]Ann M. Simon, Kimberly A. Ingraham, John A. Spanias, Aaron J. Young, Levi J. Hargrove:
Development and preliminary testing of a flexible control system for powered knee-ankle prostheses. BioRob 2016: 704-709 - 2013
- [j3]Aaron J. Young, Lauren H. Smith, Elliott J. Rouse
Classification of Simultaneous Movements Using Surface EMG Pattern Recognition. IEEE Trans. Biomed. Eng. 60(5): 1250-1258 (2013) - [c3]Aaron J. Young, Ann M. Simon, Levi J. Hargrove:
An intent recognition strategy for transfemoral amputee ambulation across different locomotion modes. EMBC 2013: 1587-1590 - 2012
- [j2]Aaron J. Young, Levi J. Hargrove, Todd A. Kuiken:
Improving Myoelectric Pattern Recognition Robustness to Electrode Shift by Changing Interelectrode Distance and Electrode Configuration. IEEE Trans. Biomed. Eng. 59(3): 645-652 (2012) - [c2]Dennis C. Tkach, Aaron J. Young, Lauren H. Smith, Levi J. Hargrove:
Performance of pattern recognition myoelectric control using a generic electrode grid with Targeted Muscle Reinnervation patients. EMBC 2012: 4319-4323 - 2011
- [j1]Aaron J. Young, Levi J. Hargrove, Todd A. Kuiken:
The Effects of Electrode Size and Orientation on the Sensitivity of Myoelectric Pattern Recognition Systems to Electrode Shift. IEEE Trans. Biomed. Eng. 58(9): 2537-2544 (2011) - [c1]Aaron J. Young, Levi J. Hargrove:
Effects of interelectrode distance on the robustness of myoelectric pattern recognition systems. EMBC 2011: 3873-3879
Coauthor Index
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last updated on 2024-10-07 21:11 CEST by the dblp team
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