Maria Barbara Calva Yanez
Papers
1
Total Citations
25
H-Index
1
About
Dr. Maria Barbara Calva Yanez is a pioneering researcher in human-machine interfaces (HMI) and assistive robotics, with a focus on developing adaptive systems for individuals with disabilities. Her most cited work, "A Custom EOG-Based HMI Using Neural Network Modeling to Real-Time for the Trajectory Tracking of a Manipulator Robot" (2020, 25 citations), addresses a critical challenge in assistive technology: the need for personalized signal classification. By leveraging electrooculography (EOG) and neural network modeling, she created a real-time interface that allows users to control a robotic manipulator through eye movements, eliminating the traditional requirement for users to adapt to rigid system parameters. This contribution is particularly impactful because it prioritizes user customization, making assistive devices more accessible and intuitive. Dr. Calva Yanez’s work bridges neuroscience, machine learning, and robotics, offering practical solutions for enhancing autonomy in people with motor impairments. Her research exemplifies how tailored neural network approaches can transform physiological signals into seamless control, paving the way for more inclusive and responsive HMI technologies.
Research Focus
Key Achievements
Top Papers
- 1