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Driver drowsiness and stress are major causes of traffic deaths and injuries, which ultimately wreak havoc on world economic loss. Researchers are in full swing to develop various algorithms for both drowsiness and stress recognition. In contrast to existing works, this paper proposes a generic model using multiple-objective genetic algorithm optimized deep multiple kernel learning support vector machine that is capable to recognize both driver drowsiness and stress. This algorithm simplifiesdoi:10.3390/s20051474 pmid:32156100 pmcid:PMC7085776 fatcat:7x3pq7tu4bdx3mdgqzfdvjcuam