Sensor-related influences on drowsy driver steering data

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1996
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Brekke, Monty Howard
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Sherman, Peter J.
Wright, Charles T.
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Abstract
The value of this study is the following. If a certain statistic is influenced negligibly by a certain item (e.g. sensor type) then one can reasonably assume that the influences of that item on the percent change in the statistic will also be negligible. On the other hand, if a large influence is noted, then such an assumption is no longer justified. Thus, the purpose of this study is to quantify the influence of hardware parameters and preprocessing techniques on a selected set of statistics. This will allow other researchers in the area of drowsy driver identification to at the very least be aware that their selection of certain items might have an influence on the percent changes in these statisitics in alert v.s. drowsy conditions.
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