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About

Dana Cristea is a researcher advancing the field of assistive technology through brain-computer interfaces (BCI) and human-robot interaction. Her work focuses on developing accessible control systems for individuals with neuromotor disabilities, including paralysis or speech loss. Cristea’s most cited paper (6 citations) introduces a BCI system integrating the NI myRIO device with a NeuroSky Mindwave headset, enabling users to control a mobile robot through voluntary eye-blinks. She further refined this approach in a 2020 study (5 citations) using an Arduino-based mobile robot controlled via eye-blinks detected from EEG signals, with a LabVIEW GUI for user-friendly operation. Beyond BCI, Cristea explored gesture-based control in a 2019 paper (5 citations), designing a virtual robot arm controlled by hand gestures captured through a Leap Motion Sensor. Her work consistently demonstrates practical, low-cost solutions for assistive robotics, bridging hardware and software to empower users with severe physical limitations. With a clear focus on translating neural and gestural signals into real-world commands, Cristea’s contributions highlight the potential of accessible BCI systems to improve quality of life for people with disabilities.