Prof. Luminita Moraru

University of Galati, Romania



Title of the paper: Driver Behavior Profiling based on Efficient Recurrence Quantification Analysis


Abstract: This study investigates whether nonlinear dynamic measures derived from recurrence quantification analysis (RQA) can effectively characterize driver behavior from inertial sensor data. Following the hypothesis that nonlinear dynamics provide a more sensitive description of driving variability compared to conventional linear metrics, we examined whether RQA features extracted from accelerometer and gyroscope signals can distinguish between different driving conditions and behaviors. The recurrence plots (RPs) were generated from tri-axial accelerometer and gyroscope recordings, and quantified through RQA measures including recurrence rate (RR), determinism (DET), entropy (ENTR), laminarity (LAM), trapping time (TT), and line-based indicators. Beyond univariate analysis, we employed cross-recurrence quantification analysis (CRQA) to capture multivariate dependencies across sensor modalities. The results hold potential applications in intelligent transportation systems, driver assistance technologies, and safety monitoring. The ability of CRQA to capture inter-signal dependencies further opens possibilities for multimodal driver monitoring frameworks.

Bio: Prof. Luminita Moraru is currently a Full Professor in the Department of Physics, Chemistry, and Environment at Dunarea de Jos University of Galati, Romania. Her primary areas of expertise include image processing, pattern recognition, artificial intelligence and machine learning, deep learning, modelling, and simulation. Additionally, her interest in nonlinear fibre optics and solitons constitutes a secondary area of focus. Dr. Moraru has authored and co-authored over 250 research papers published in refereed journals, national and international conferences, and book chapters. She serves as a member of the Editorial Board of several national and international journals and is an expert evaluator for national and international projects. Furthermore, she is a member of various boards of External Examiners responsible for assessing international PhD theses. Her H-index is 34 in Clarivate.




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