Investigation of Chemical Sensor Array Optimization Methods for DADSS
Abstract Nowadays, most major automobile manufacturers are very interested, and actively involved, in developing driver alcoholdetection system for safety (DADSS) that serves to prevent driving under the influence. DADSS measures the blood alcoholconcentration (BAC) from the driver's breath and limits the ignition of the engine of the vehicle if the BAC exceeds thereference value. In this study, to optimize the sensor array of the DADSS, we selected sensors by using three different meth ods, configured the sensor arrays, and then compared their performance. The Wilks' lambda, stepwise elimination and filtermethod (using a principal component) were used as the sensor selection methods [2,3] We compared the performance ofthe arrays, by using the selectivity and sensitivity as criteria, and Sammon mapping for the analysis of the cluster type ofeach gas. The sensor array configured by using the stepwise elimination method exhibited the highest sensitivity and selec tivity and yielded the best visual result after Sammon mapping.Keywords: Sensor array, Optimization, Stepwise sensor elimination, Wilks' lambda