Papers
4
Total Citations
26
H-Index
3
About
Eric J. Earley is a biomedical engineer advancing the frontiers of neural interfacing and prosthetic feedback. His research focuses on restoring intuitive, closed-loop control for individuals with upper limb amputations, bridging the critical gap between user intent and device response. Earley’s most cited work (2018, 12 citations) investigates joint speed discrimination and sensory substitution feedback, demonstrating that artificial feedback can significantly improve fine motor control—though benefits may not always persist without continuous stimulation. In a landmark 2022 study (7 citations), he showed that extra-neural signals from severed nerves can enable intrinsic hand movements in transhumeral amputees, offering a path toward individual finger control that myoelectric systems alone cannot achieve. To democratize this research, Earley developed a low-cost, wireless bioelectric signal acquisition and classification platform (2024, 4 citations), making real-time neural data collection accessible to labs with limited resources. His work has been recognized for its translational impact, combining rigorous neuroengineering with practical, affordable hardware design. For students and researchers, Earley exemplifies how creative, low-cost solutions can tackle the most complex challenges in human-machine interaction.
Research Focus
Key Achievements
Top Papers
- 1Joint Speed Discrimination and Augmentation For Prosthesis Feedback12 citations · 2018
- 2
- 3
- 4Joint Speed Discrimination and Augmentation For Prosthesis Feedback3 citations · 2018