Driver's Status Recognition Using Multiple Wearable Sensors


KIPS Transactions on Computer and Communication Systems, Vol. 6, No. 6, pp. 271-280, Jun. 2017
10.3745/KTCCS.2017.6.6.271,   PDF Download:
Keywords: Wearable, Sensor, Physiological Signal, HRV, Respiration Rate, PPG
Abstract

In this paper, we propose a new safety system composed of wearable devices, driver's seat belt, and integrating controllers. The wearable device and driver's seat belt capture driver's biological information, while the integrating controller analyzes captured signal to alarm the driver or directly control the car appropriately according to the status of the driver. Previous studies regarding driver’s safety from driver's seat, steering wheel, or facial camera to capture driver's physiological signal and facial information had difficulties in gathering accurate and continuous signals because the sensors required the upright posture of the driver. Utilizing wearable sensors, however, our proposed system can obtain continuous and highly accurate signals compared to the previous researches. Our advanced wearable apparatus features a sensor that measures the heart rate, skin conductivity, and skin temperature and applies filters to eliminate the noise generated by the automobile. Moreover, the acceleration sensor and the gyro sensor in our wearable device enable the reduction of the measurement errors. Based on the collected bio-signals, the criteria for identifying the driver's condition were presented. The accredited certification body has verified that the devices has the accuracy of the level of medical care. The laboratory test and the real automobile test demonstrate that our proposed system is good for the measurement of the driver's condition.


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Cite this article
[IEEE Style]
E. Shin, M. Kim, C. Lee, H. Kang, "Driver's Status Recognition Using Multiple Wearable Sensors," KIPS Transactions on Computer and Communication Systems, vol. 6, no. 6, pp. 271-280, 2017. DOI: 10.3745/KTCCS.2017.6.6.271.

[ACM Style]
Euiseob Shin, Myong-Guk Kim, Changook Lee, and Hang-Bong Kang. 2017. Driver's Status Recognition Using Multiple Wearable Sensors. KIPS Transactions on Computer and Communication Systems, 6, 6, (2017), 271-280. DOI: 10.3745/KTCCS.2017.6.6.271.