Reviews of existing systems: challenges and opportunities
Detection of Fatigue while Driving
Article REF: TRP1021 V1
Reviews of existing systems: challenges and opportunities
Detection of Fatigue while Driving

Authors : Alexandre LAMBERT, Céline BARTH, Manolo HINA, Amar Ramdane CHERIF, Aakash SONI, Assia SOUKANE

Publication date: November 10, 2023 | Lire en français

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6. Reviews of existing systems: challenges and opportunities

Current systems are based on modelling that is too imprecise. The modeling process can be broken down into three parts: experimentation (data generation), data acquisition and processing, and reasoning design.

In the computer literature on fatigue detection, it is not uncommon for one or more of these aspects to be biased.

Some articles base their models on questionable data. Indeed, it is not uncommon for the data sets used to be simulated.

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