@inproceedings{c7e7c876fb854d7abdc1db5f8bee9e01,
title = "Aware-D: Voice recognition-based driving awareness detection",
abstract = "Driving needs the driver to be in a proper condition, aware enough of the road to ensure safety. Driving under the influence of alcohol has been one of the worst cause of traffic accidents worldwide. In this paper, we propose a novel system to detect the awareness of car drivers when driving, which is related to driving under alcohol (drunk driving). The system will be installed in Android smartphones and evaluate driver's awareness by questioning the drivers with Android's text-to-speech and evaluating the answers with voice recognition before and during driving. The system calculates the percentage of correctly answered and wrongly answered questions. Once the system detects abnormal awareness of the driver, the system will alert the driver and notify a chosen contact with SMS containing the location of the driver.",
keywords = "android, awareness detection, driving behavior, mobile application",
author = "Phanama, {Yudi Andrean} and C{\'e}cile Duthoit and Sari, {Riri Fitri}",
year = "2016",
month = oct,
day = "3",
doi = "10.1109/APCC.2016.7581418",
language = "English",
series = "Proceedings - Asia-Pacific Conference on Communications, APCC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "90--95",
booktitle = "Proceedings - Asia-Pacific Conference on Communications, APCC 2016",
address = "United States",
note = "22nd Asia-Pacific Conference on Communications, APCC 2016 ; Conference date: 25-08-2016 Through 27-08-2016",
}