Papers
3
Total Citations
27
H-Index
2
About
Elizabeth Fox is a pioneering researcher at the intersection of biomedical engineering and human-robot interaction, with key contributions in sonomyography and human-swarm teaming. Her most impactful work, "Towards Sonomyography-Based Real-Time Control of Powered Prosthesis Grasp Synergies" (19 citations), introduces a transformative approach to prosthetic control using ultrasound imaging. By leveraging sonomyography’s superior signal-to-noise ratio and lower hardware demands compared to traditional surface electromyography, Fox demonstrates how supervised learning algorithms can classify complex muscle activity, enabling intuitive, real-time control of grasp synergies. This work holds profound implications for restoring dexterous hand function in amputees. In parallel, Fox investigates human-swarm interaction, notably in "“Is something amiss?” Investigating individuals’ competence in estimating swarm degradation" (6 citations). Through a novel within-subjects design, she reveals critical gaps in human perception of robotic swarm performance, advancing our understanding of trust and error detection in autonomous systems. Her follow-up study, "Detecting Swarm Degradation: Measuring Human and Machine Performance" (2 citations), further benchmarks human versus algorithmic monitoring. Fox’s dual focus—enhancing prosthetic control through physiological imaging and optimizing human oversight of swarms—positions her as a rising leader in assistive and collaborative robotics, bridging biological and artificial intelligence for real-world impact.
Research Focus
Key Achievements
Top Papers
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- 3Detecting Swarm Degradation: Measuring Human and Machine Performance2 citations · 2023