|Car driver’s performance is affected by physiologic behavior, causing auto-motive accidents. A system that predicts incoming behaviors is proposed considering vital signs as data to infer by Evolving Systems (EVOS) para-digms and several behaviors as prediction targets. A black-box like ap-proach is proposed. It implements data loging of the vital signs and it ap-plies an evolving prediction paradigm. Long term data log enables post-event analysis and data set building for supervised learning for the prediction par-adigms|
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