Personal Car Driver Black Box - A Wearable System for Data Log and Prediction Based on EVOS Paradigms.

EANN(2020)

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Abstract
Car driver’s performance is affected by physiologic behavior, causing automotive accidents. A system that predicts incoming behaviors is proposed considering vital signs as data to infer by Evolving Systems (EVOS) paradigms and several behaviors as prediction targets. A black-box like approach is proposed. It implements data loging of the vital signs and it applies an evolving prediction paradigm. Long term data log enables post-event analysis and data set building for supervised learning for the prediction paradigms.
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Key words
EFuNN, Behavior’s onset, Wearable systems, EVOS, Car driver’s performance, Vital signs
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