Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Investigation of Chemical Sensor Array Optimization Methods for DADSS

  • Choi, Jang-Sik (Division of Electronics, Information&Communication Engineering, Kangwon National University) ;
  • Jeon, Jin-Young (Division of Electronics, Information&Communication Engineering, Kangwon National University) ;
  • Byun, Hyung-Gi (Division of Electronics, Information&Communication Engineering, Kangwon National University)
  • Received : 2016.01.15
  • Accepted : 2016.01.27
  • Published : 2016.01.29
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Abstract

Nowadays, most major automobile manufacturers are very interested, and actively involved, in developing driver alcohol detection system for safety (DADSS) that serves to prevent driving under the influence. DADSS measures the blood alcohol concentration (BAC) from the driver's breath and limits the ignition of the engine of the vehicle if the BAC exceeds the reference value. In this study, to optimize the sensor array of the DADSS, we selected sensors by using three different methods, configured the sensor arrays, and then compared their performance. The Wilks' lambda, stepwise elimination and filter method (using a principal component) were used as the sensor selection methods [2,3]. We compared the performance of the arrays, by using the selectivity and sensitivity as criteria, and Sammon mapping for the analysis of the cluster type of each gas. The sensor array configured by using the stepwise elimination method exhibited the highest sensitivity and selectivity and yielded the best visual result after Sammon mapping.

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References

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