Research Topics
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Aha Moment: A moment of sudden realization, inspiration, insight, recognition, or comprehension.
— Meriam Webster Dictionary
My goal is to experience many aha moments in life! Current research topics of interest to me include the following:
Deep Learning approaches for upper limb prosthesis control
Classification versus RCNN Regression-based
solution for upper limb prosthesis control
Heather E. Williams, Jacqueline S. Hebert, Patrick M. Pilarski, Ahmed W. Shehata, “Evidence that a deep learning regression-based controller mitigates the limb position effect for an individual with transradial amputation,” the Myoelectric Controls Symposium (MEC24), August 12–15, 2024, Fredericton, Canada.
Demonstration of early research is below, with Classification (L) | Regression (R)
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Quantifying Prosthesis Control Outcomes
Introduction of a Novel Suite of Metrics for Comparative Controller Research
Heather E. Williams, Ahmed W. Shehata, Kodi Y. Cheng, Jacqueline S. Hebert, Patrick M. Pilarski, “A multifaceted suite of metrics for comparative myoelectric prosthesis controller research,” PLOS One, 19(5):e0291279, May 2024.
Electromyographic (EMG) Signals, Positional (IMU) Data, along with Motion Capture and Eye Tracking technologies for the capture upper limb movement data
Gaze and Movement Assessment (GaMA):
A quantitative outcome metric for upper limb sensory-motor function
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