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- Article name
- Analysis of face and neck thermograms for users drowsiness recognition based on the Bayesian classifier
- Authors
- Sulavko A. E., , sulavich@mail.ru, Omsk State Technical University, Omsk, Russia
Zhumazhanova S. S., , samal_shumashanova@mail.ru, Omsk State Technical University, Omsk, Russia
Lukin D. V., , azlukinza@gmail.com, Omsk State Technical University, Omsk, Russia
- Keywords
- IR thermography / thermal images / psychophysiological state / drowsiness / feature space / Bayes hypothesis formula
- Year
- 2020 Issue 2 Pages 24 - 30
- Code EDN
- Code DOI
- Abstract
- The results of identification studies using methods of thermography in conjunction with methods of pattern recognition and artificial intelligence of the state of drowsiness of users are presented. The analysis of the developed space of signs and decision-making algorithms based on the consistent application of the Bayesian hypothesis formula is carried out.
- Text
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