Browse > Article
http://dx.doi.org/10.3837/tiis.2019.09.011

Drowsiness Driving Prevention System using Bone Conduction Device  

Hahm, SangWoo (College of Business Administration, Soongsil University)
Park, Hyungwoo (School of Electonic Engineering,, Soongsil university)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.13, no.9, 2019 , pp. 4518-4540 More about this Journal
Abstract
With the development of IT convergence technology, autonomous driving has gradually developed; however, the vehicle is still operated by the driver, who should always be in good health - but sometimes, this is not the case. It is especially dangerous to drive when drowsy, and unable to fully concentrate on driving, such as when taking certain medicines, or through fatigue. Drowsy driving is at least eight times more dangerous than normal driving, and as dangerous as drunk driving. Previous research has looked at technology to detect drowsiness, in order to wake up drivers when necessary, or to safely stop the vehicle. Furthermore, many studies have been conducted to find out when drowsiness occurs. However, it is more desirable for the driver to take sufficient rest during a break, in order to be able to continue to focus and drive. In other words, it is important to maintain a normal state before drowsiness. In this study, we introduce a sound source to increase driver concentration and prevent drowsiness, another that can improve the quality of sleep, and a system that produces these sound sources. The proposed system has a noise reduction effect of about 15 dB. We have confirmed that the proposed sound induces an EEG of the desired form.
Keywords
Drowsiness Driving; Bone Conduction device; Electroencephalogram; Induction sound;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Erika Abe, Koichi Fujiwara, Toshihiro Hiraoka, Toshitaka Yamakawa and Manabu Kano, "Development of drowsy driving accident prediction by heart rate variability analysis," in Proc. of Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific, IEEE, December, 2014.
2 Ying ying Jiao and Bao Liang Lu, "Detecting driver sleepiness from eeg alpha wave during daytime driving," in Proc. of 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, November, 2017.
3 Laverne C. Johnson, William L. MacLeod, "Sleep and awake behavior during gradual sleep reduction," Perceptual and Motor Skills, Vol. 36, No. 1, pp. 87-97,1973.   DOI
4 C. Bougard, M. C. Lepelley, and D. Davenne, "The influences of time-of-day and sleep deprivation on postural control," Experimental brain research, Vol. 209, No.1, pp.109-115, 2011.   DOI
5 Hwang Soo Chun, "A study on the ADAS drowsiness prevention technology," in Proc. of Symposium of the Korean Institute of Communications and Information Sciences, pp. 224-225 June, 2018.
6 Jae Sik Lee, Bi A Kim and Wan Suk You, "The effects of alcohol and fatigue on divided attention task and driving performance using a driving simulator," The Korean Journal of Industrial and Organizational Psychology, vol. 12, no. 2, pp. 91-107, November, 1999.
7 H.J. Park "Functional device field of vehicle for safe driving - Patent Trend Analysis," Patent, Patent Information Promotion Center, vol. 21, no. 76, pp. 34-43, 2007.
8 Dong Im Lee and Tae Gye Lee, "Study on the expansion of the scope of fatal driving style crime," Seoul Law Review, vol. 26, no. 3, pp.293-319, November, 2018.
9 Hyung Woo Park and Sangmin Lee, "IoT Based Performance Measurement of Car Audio Systems in Korean Recreation Vehicles," Journal of Internet Computing and Services(JICS), Vol. 18, No. 1, pp. 57-64, Feb., 2017.   DOI
10 Arkhom Songkroh and Werasak Kurutach, "An intelligent hybrid approach for detection of drowsy driving risk in real environments," in Proc. of 2017 14th International Conference on Electrical Engineering Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), IEE, June, 2017.
11 H.W. Park, M.S. Kim, and M.J. Bae, "Improvement of voice quality and prevention of deafness by a bone-conduction device," Biotechnology and Biotechnological Equipment, Taylor & Francis, Vol. 14, No. 28, S14-S20, 2014.
12 Sangwoo Hahm, "Information sharing and creativity in a virtual team: Roles of authentic leadership, sharing team climate and psychological empowerment," KSII Transactions on Internet and Information Systems, vol. 11, no. 8, pp. 4105-4119, August, 2017.   DOI
13 Noppadon Jatupaiboon, Setha Pan-ngum, Pasin Israsena, "Emotion Classification using Minimal EEG Channels and Frequency Bands," in Proc. of 2013 10th International Joint Conference on Computer Science and Software Engineering (JCSSE), Maha Sarakham, 2013, pp. 21-24.
14 Eun-Jin Cheon, "Electroencephalographic Changes in Depression," J Korean Soc Biol Ther Psychiatry, Vol 19, No 2, pp. 93-100, 2013.
15 Sangwoo Hahm,, "Attitudes and Performance of Workers Preparing for the Fourth Industrial Revolution," KSII Transactions on Internet and Information Systems, vol. 12, no. 8, pp. 4038-4056, August, 2018.   DOI
16 L. R. Rabiner, and R. W. Schafer, Introduction to digital speech processing, Foundations and Trends${(R)}$ in Signal Processing, 2007.
17 M. Fukumoto, "A finger-ring shaped wearable handset based on bone-conduction," in Proc. of Ninth IEEE International Symposium on Wearable Computers (ISWC'05), October, 2005.
18 Hyung Woo Park, Seong Geon Bae and Myung Jin Bae, "A study on drinking judgment by the pitch analysis of speech signal," International Journal of Engineering and Technology, vol. 7, no. 6, pp. 2304-2308, 2016.
19 Gi deok Lee, Jong soo Kum, Dong gyu Kim, Jung hwan Oh, Min soo Kim and Soo jin Yu, "A study on drowsiness prevention using blowing to face during driving," in Proc. of The Korean Society of Automotive Engineers, pp. 1880-1884, November, 2012.
20 Byung Chan Chang, Jung Eun Lim, Hae Jin Kim, and Bo Hyeok Seo, "A study of classification of the level of sleepiness for the drowsy driving prevention," SICE Annual Conference, September, 2007.
21 Hyeon Ku Park, Yong Gyu Shin, Hang Kim, Min Jeong Song, Sun Woo Kim, "Evaluation of Sound Quality for Urban Environmental Sound," Proceedings of The Korean Society for Noise and Vibration Engineering, pp.529-534, 2005.
22 Ki chun Jo, Jun soo Kim, Dong chul Kim, Chul hoon Jang and Myoung ho Sunwoo, "Development of autonomous car-part I distributed system architecture and development process," IEEE Transactions on Industrial Electronics, vol. 61, no. 12, pp. 7131-7140, 2014.   DOI
23 'Temporary resarea installation and management instructions,' Ministry of Land, Infrastructure and Transport, Administrative Rule (Ordinance, Sample, Notification), 2017.
24 Gideok Lee, Jongsoo Kum, Donggyu Kim, Junghwan Oh, Minsoo Kim, Soojin Yu, "A Study on Drowsiness Prevention using Blowing to Face during Driving," Proceedings of The Korean Society Of Automotive Engineers, 2012.11, pp.1880-1884.
25 W. Park, S. Lee, and S. Lee, Fundamentals of Sound Engineering. Seoul, Korea : Charsong, 2009.
26 Maria Corsi-Cabrera, Enrique Perez-Garci, Yolanda Del Rio-Portilla, Enrique Ugalde, Miguel Angel Guevara, "EEG Bands During Wakefulness, Slow-Wave, and Paradoxical Sleep As a Result of Principal Component Analysis in the Rat," Sleep, Volume 24, Issue 4, PP. 374-380, 2001.   DOI
27 Doo-Heon Kyon, Myung-Jin Bae, and Jeong-Hee Lee, "An analysis of the acoustic characteristics of forest sounds, " in Proc. of Meetings on Acoustics 167ASA, Vol. 21, No. 1, Acoustics Society America, 2014.
28 Irwansyah and Tsuyoshi Usagawa, "Application of active control technique on a bone conduction headphone for estimating a cross-talk compensation filter," in Proc. of TENCON 2017 - 2017 IEEE Region 10 Conference, November, 2017.
29 H.W. Park, H.I. Koh and S.H. Jang, "NOISE REDUCING SYSTEM USING BONE CONDUCTION SPEAKER," (KR)patent: 1014568870000, 2014.
30 S.W. Jee, H.W Park and M.J. Bae, "A Study on virtual car engine sound design according to sine wave harmonics frequency bandwidth," The Korean Institute of Communications and Information Sciences. Vol. 60, pp.1527-1528, 2016.
31 Daekwon Kim, "Criminal Psychological Considerations and Countermeasures against Cyber Drugs(i -Doser)," The Journal of Korean Crime Psychology Research, vol.6, no.1, pp. 3-29, 2010.
32 H.W. Park and S.W. Hahm, "Improvement of Concentration and Relaxation Efficiency through Specific Sounds: A convergent Study of Electroenc-ephalography and Cognitive Approach," in Proc. of The 10th International Conference on Internet (ICONI 2018), Cambodia, 2018.
33 Geun-Ho Lee, "Effects of Stress and Sleep Deprivation on Human Postural Control," THE KOREAN JOURNAL OF STRESS RESEARCH, Vol. 18, No. 4, 2010, pp.327-335.
34 Y. Bereshpolova, C.R. Stoelzel, J. Zhuang, Y. Amitai, J.M. Alonso and H.A. Swadlow, "Getting drowsy? Alert/nonalert transitions and visual thalamocortical network dynamics," Journal of Neuroscience, Vol. 31, No. 48, 2011, pp.17480-17487.   DOI
35 Dong wook Lee, Seung won Oh, Seong kook Heo and Min soo Hahn, "Drowsy driving detection based on the driver's head movement using infrared sensors," in Proc. of 2008 Second International Symposium on Universal Communication, IEEE, December, 2008.
36 Haruo Matsuo, Abdelaziz Khiat, "Prediction of drowsy driving by monitoring driver's behavior," in Proc. of the 21st International Conference on Pattern Recognition (ICPR2012), IEEE, November, 2012.
37 S Lim and D Lee, "Real-time eye tracking using ir stereo camera for indoor and outdoor environments," KSII Transactions on Internet and Information Systems, vol. 11, no. 8, 2017.
38 Sakairi, Minoru, and Masahito Togami, "Use of water cluster detector for preventing drunk and drowsy driving," SENSORS, 2010 IEEE, IEEE, November, 2010.
39 SF Ali and MT Hassan, "Feature based techniques for a driver's distraction detection using dupervised learning algorithms based on fixed monocular video camera," KSII Transactions on Internet & Information Systems, vol. 12, no. 8, 2018.
40 Sandberg, David, and Mattias Wahde, "Particle swarm optimization of feedforward neural networks for the detection of drowsy driving," in Proc. of 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), IEEE, June, 2008.
41 Atsuo Murata, Taiga Koriyama and Takehito Hayami, "A basic study on the prevention of drowsy driving using the change of neck bending angle and the sitting pressure distribution," in Proc. of 2012 SICE Annual Conference (SICE), IEEE, August, 2012.
42 Lunbo Xu, Shunyang Li, Kaigui Bian, Tong Zhao and Wei Yan, "Sober-Drive A smartphone-assisted drowsy driving detection system," in Proc. of 2014 International Conference on Computing, Networking and Communications (ICNC), IEEE, February, 2014.
43 Joel Goncalves, Riender Happee and Klaus Bengler, "Drowsiness in conditional automation, proneness, diagnosis and driving performance effects," in Proc. of 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), IEEE, November, 2016.