Abstract
Modern mobile devices, such as smartphones, are typically equipped with many different sensors able to capture biometric data, that can be used in a number of different applications and services. Further, the availability of onboard navigation capabilities makes it possible to replace with smartphones other devices, like GPS navigators, inside the vehicle, and new use cases may be evaluated and tested. In this paper, a software application for mobile devices equipped with Android O.S. is presented, as a tool for automatic driver’s drowsiness detection, based on computer vision techniques implemented through the OpenCV library. Experimental results show the effectiveness of the application, despite the limited computational resources required and the varying ambient conditions.
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Montanini, L., Gambi, E., Spinsante, S. (2016). An OpenCV Based Android Application for Drowsiness Detection on Mobile Devices. In: Conti, M., Martínez Madrid, N., Seepold, R., Orcioni, S. (eds) Mobile Networks for Biometric Data Analysis. Lecture Notes in Electrical Engineering, vol 392. Springer, Cham. https://doi.org/10.1007/978-3-319-39700-9_12
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DOI: https://doi.org/10.1007/978-3-319-39700-9_12
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