Abstract
Fatigue at the wheel has been strongly related to car accidents. Traditionally, this phenomenon has been studied in laboratory conditions by means of performance testing. Here, we aimed to improve road safety assessing driver fatigue at the wheel in real scenarios. For this purpose, we have built BioTracker®: a flexible non invasive platform. A smartphone and a microcontroller unit are the core of sysetm. In this paper, we describe BioTracker®, and we present some examples of its implementation.
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Morales, J.M., Di Stasi, L.L., Díaz-Piedra, C., Morillas, C., Romero, S. (2015). Real-Time Monitoring of Biomedical Signals to Improve Road Safety. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2015. Lecture Notes in Computer Science(), vol 9094. Springer, Cham. https://doi.org/10.1007/978-3-319-19258-1_8
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DOI: https://doi.org/10.1007/978-3-319-19258-1_8
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