Papers
4
Total Citations
105
H-Index
4
About
Aniana Cruz is a leading researcher at the intersection of assistive robotics and brain-computer interfaces (BCIs), dedicated to restoring mobility and autonomy for individuals with severe motor disabilities. Her work centers on developing highly reliable, user-centric control systems for brain-actuated wheelchairs, with a particular focus on integrating physiological sensing to enhance safety and usability. Cruz’s most impactful contribution is her 2021 study on a self-paced BCI with a collaborative controller, which demonstrated a dramatic improvement in wheelchair driving reliability during tests with physically disabled individuals, earning 80 citations. She has also pioneered the use of electrooculography (EOG) for facial expression recognition to enable emotion detection in human-robot interaction, and explored galvanic skin response (GSR) as a real-time stress indicator for BCI-controlled wheelchair users. Her 2022 work on a dynamic environment-based visual interface further streamlines navigation target selection, reducing user cognitive load. Through these innovations, Cruz is not only advancing the technical robustness of assistive technologies but also prioritizing the real-world emotional and cognitive well-being of their users, making her a pivotal figure in human-centered robotics.
Research Focus
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Top Papers
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