Heather E. Williams

According to our database, Heather E. Williams authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Experimental validation of a finite state controlled functional electrical stimulation walking system with real-time gait phase detection using a single wearable IMU sensor.

Hikaru Yokoyama, Koshi Shibagaki, Suzufumi Arai, Heather E. Williams, Albert H. Vette, Taishin Nomura, Matija Milosevic

Biomed. Signal Process. Control., 2025

Efficient Multi-Positioned Training for Regression-Based Myoelectric Control: Exploring Transformer Models with Transfer Learning.

Shriram Tallam Puranam Raghu, Heather E. Williams, Erik J. Scheme

Proceedings of the International Conference On Rehabilitation Robotics, 2025

2024

Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses.

Michael Rory Dawson, Adam S. R. Parker, Heather E. Williams, Ahmed W. Shehata, Jacqueline S. Hebert, Craig S. Chapman, Patrick M. Pilarski

Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

2023

A Case Series in Position-Aware Myoelectric Prosthesis Control Using Recurrent Convolutional Neural Network Classification with Transfer Learning.

Heather E. Williams, Jacqueline S. Hebert, Patrick M. Pilarski, Ahmed W. Shehata

Proceedings of the International Conference on Rehabilitation Robotics, 2023

2022

Recurrent Convolutional Neural Networks as an Approach to Position-Aware Myoelectric Prosthesis Control.

Heather E. Williams, Ahmed W. Shehata, Michael Rory Dawson, Erik J. Scheme, Jacqueline S. Hebert, Patrick M. Pilarski

IEEE Trans. Biomed. Eng., 2022

Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden.

Heather E. Williams, Johannes Günther, Jacqueline S. Hebert, Patrick M. Pilarski, Ahmed W. Shehata

Proceedings of the International Conference on Rehabilitation Robotics, 2022

2021

Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance.

Ahmed W. Shehata, Heather E. Williams, Jacqueline S. Hebert, Patrick M. Pilarski

IEEE Signal Process. Mag., 2021

Neurorobotic fusion of prosthetic touch, kinesthesia, and movement in bionic upper limbs promotes intrinsic brain behaviors.

Paul D. Marasco, Jacqueline S. Hebert, Jonathon W. Sensinger, Dylan Beckler, Zachary C. Thumser, Ahmed W. Shehata, Heather E. Williams, Kathleen R. Wilson

Sci. Robotics, 2021

2019

Hand Function Kinematics when using a Simulated Myoelectric Prosthesis.

Heather E. Williams, Quinn A. Boser, Patrick M. Pilarski, Craig S. Chapman, Albert H. Vette, Jacqueline S. Hebert

Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019