Tracey Camilleri
Papers
1
Total Citations
57
H-Index
1
About
Tracey Camilleri is a leading researcher in the field of brain-computer interfaces (BCIs), with a particular focus on endogenous EEG-based systems for dynamic device control. Her work addresses a critical challenge in assistive technology: enabling individuals with severe mobility impairments to interact with their environments using only their brain activity. Camilleri’s most cited paper, a comprehensive 2022 review that has garnered 57 citations, synthesizes the state of the art in endogenous BCI paradigms—those that rely on user-generated commands rather than external stimuli. This review has become a foundational resource for researchers seeking to develop more intuitive, self-paced BCIs for real-world applications like wheelchair navigation or robotic arm control. Beyond this landmark review, Camilleri’s contributions include advancing signal processing techniques and experimental protocols that improve the reliability and usability of non-invasive BCIs. Her work bridges neuroscience, engineering, and human-computer interaction, making her a key figure in translating BCI technology from the lab to practical, life-changing applications. For students and researchers entering this field, Camilleri’s research offers a clear roadmap for designing BCIs that empower users through voluntary, endogenous control.
Research Focus
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Top Papers
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