Abstract
This paper attempts to present a comprehensive survey of what is being done to automate the drowsiness ratings to be employed within a vehicle. The paper analyses the evidences for the usefulness of the measures currently used in drowsiness detection devices, which are not invasive and is based solely on eye activity. Their relationships with drowsiness and performance are described, and general problems and pitfalls associated with their practical use in passenger vehicles are identified. It also simulates a non-intrusive drowsiness detection system that is the core detection technique of several devices under review to understand how all the components of the system respond in real-time. A rating table to aid in automating the drowsiness rating in future is also included based upon analysis of drowsiness observed from recorded video.
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Bhuiyan, M.S. (2009). Driver Assistance Systems to Rate Drowsiness: A Preliminary Study. In: Nakamatsu, K., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds) New Advances in Intelligent Decision Technologies. Studies in Computational Intelligence, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00909-9_40
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DOI: https://doi.org/10.1007/978-3-642-00909-9_40
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