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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸°úÇÐȸ Çмú´ëȸ > 2018³â ÄÄÇ»ÅÍÁ¾ÇÕÇмú´ëȸ

2018³â ÄÄÇ»ÅÍÁ¾ÇÕÇмú´ëȸ

Current Result Document : 99 / 422

ÇѱÛÁ¦¸ñ(Korean Title) iGuardian : À½ÁÖ °¨Áö ½Ã½ºÅÛ ±â¹Ý ¿þ¾î·¯ºí ±â±â
¿µ¹®Á¦¸ñ(English Title) iGuardian: Drunk Detection System Based on Wearable Device
ÀúÀÚ(Author) Manh-Hung Tran   Vu Nguyen Phan   ¿°»ó±æ   ÃßÇö½Â   Manh-Hung Tran   Vu Nguyen Phan   Sanggil Yeoum   Hyunseung Choo  
¿ø¹®¼ö·Ïó(Citation) VOL 45 NO. 01 PP. 0401 ~ 0403 (2018. 06)
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(Korean Abstract)
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(English Abstract)
Driving Under the Influence (DUI) of alcohol is recognized as the top cause of auto accidents in over the world. In this paper, we propose an efficient system to detect drunker and alert of dangerous for the driver. Our system uses wearable device, smart phone connected to a smart car and machine learning technique to solve this problem. The wearable device and smartphone phone install an application to collect the voice and heart rate data from sensor readings and use machine learning to learn and detect the pattern. When the pattern of drunk is detected, the system will automatically alert the driver and lock the car or call their friend or driver service for help through wearable device or smartphone.
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