Vehicle User Authentication Cognitive Dataset

This structured dataset is designed to support intelligent decision-making for vehicle access control based on biometric and behavioral cues. The dataset contains 257 instances, each representing a unique interaction scenario between a human subject and an autonomous vehicle door access system. The input parameters include Biometric Signal-to-Noise Ratio (SNR), Human Identification Probability, Tag, Human Profile, Previous Behavior, and Uncertainty\u2014all encoded as binary numerical values (0 and 1) to ensure computational simplicity and robustness. The system's output is a numeric decision score, expressed in point values, indicating the likelihood or confidence level for granting door access.