Andrea Evangelista
Papers
2
Total Citations
16
H-Index
2
About
Andrea Evangelista is a researcher whose work lies at the intersection of computer vision, human-computer interaction, and biometrics, with a particular focus on gaze estimation and soft biometrics. Her major contributions center on developing low-cost, calibration-free methods for extracting meaningful behavioral cues from eye movements in unconstrained, real-world settings. Evangelista’s pioneering 2015 study on a calibration-free gaze estimator for soft biometrics (12 citations) demonstrated that gaze patterns could serve as a reliable, non-intrusive biometric trait without the need for expensive hardware or tedious user calibration. She further advanced this line of inquiry by modeling temporal series of gaze cues extracted "in the wild" (4 citations), showing how dynamic eye movement sequences can be used for person recognition and behavioral profiling. Her work is notable for its practical emphasis on accessibility and robustness, making gaze-based biometrics viable for everyday applications like adaptive interfaces, security, and user authentication. Evangelista’s research has helped bridge the gap between laboratory-grade gaze tracking and real-world deployment, offering a scalable, cost-effective approach to soft biometrics that continues to influence studies in behavioral analysis and privacy-aware identification.
Research Focus
Key Achievements
Top Papers
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