Elaine Armstrong

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About

Elaine Armstrong is a pioneering researcher at the intersection of neural engineering, rehabilitation robotics, and human-machine interaction. Her primary research areas include brain-computer interfaces (BCIs), autonomous exoskeleton control, and multimodal system design for assistive technologies. Armstrong’s most significant contribution is her groundbreaking 2023 study on a hybrid brain/neural interface that integrates autonomous vision-guided control of a whole-arm exoskeleton, enabling individuals with motor impairments to perform activities of daily living (ADLs). This work, which has garnered 29 citations, directly addresses the growing need for assistive solutions in aging populations affected by cerebrovascular diseases. By combining neural signals with computer vision, Armstrong’s system represents a leap toward intuitive, real-world assistive robotics. Her earlier work on user requirements in multimodal system design (2016) laid foundational insights for creating more accessible and user-centered robotic interfaces. Armstrong’s research not only advances neuroprosthetics but also emphasizes practical, user-driven innovation, making her a key figure in developing technologies that restore independence and quality of life for individuals with motor disabilities.