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IEEE Robotics and Automation Letters|March 16, 2023
Deep-Learning to Map a Benchmark Dataset of Non-amputee Ambulation for Controlling an Open Source Bionic LegMinjae Kim, Levi J Hargrove
Journal of Neuroengineering and Rehabilitation|September 4, 2023
Generating synthetic gait patterns based on benchmark datasets for controlling prosthetic legsMinjae Kim, Levi J Hargrove
Wearable Technologies|April 12, 2023
Seamless and intuitive control of a powered prosthetic leg using deep neural network for transfemoral amputeesMinjae Kim, Ann M Simon, Levi J Hargrove
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Machine Learning-Based Gait Mode Prediction for Hybrid Knee Prosthesis ControlMinjae Kim, Ann M Simon, Kunal Shah, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|May 13, 2020
Understanding Limb Position and External Load Effects on Real-Time Pattern Recognition Control in AmputeesYuni Teh, Levi J Hargrove
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
A comparison of the effects of majority vote and a decision-based velocity ramp on real-time pattern recognition controlAnn M Simon, Levi J Hargrove
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Quantifying Cognitive Load using EEG during Ambulation and Postural TasksMargaret M Swerdloff, Levi J Hargrove
Journal of Neuroengineering and Rehabilitation|January 18, 2019
Adapting myoelectric control in real-time using a virtual environmentRichard B Woodward, Levi J Hargrove
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