This document introduces computer engineering and discusses techniques for detecting drowsiness using biosignals. It defines computer engineering as studying computer fundamentals like hardware, software, architecture, networks, operating systems, and databases. It then explains that biosignals like electroencephalography (EEG), electrocardiography (ECG), and electrooculography (EOG) can be used to detect drowsiness by measuring changes in brain wave patterns, heart rate variability, and eye movement respectively. Specific detection methods for each biosignal are also outlined.

1. Pengenalan Teknik Komputer
Arthur Mourits Rumagit
Electrical Engineering Department
Engineering Faculty
Sam Ratulangi University

2. Teknik Elektro?
Mempelajari tentang gejala kelistrikan akibat
adanya pergerakan partikel elektron dalam
susunan atom.
Semua fenomena yang berhubungan dengan
pegerakan electron disitu orang elektro ada.

3. Teknik Elektro?
Sub ilmu Teknik Elekto :
Teknik Tenaga Listrik
Teknik Kendali
Teknik Elektronika
Teknik Informatika
Teknik Komputer

4. Teknik Komputer

5. Teknik Komputer?
Teknik komputer adalah bidang yang
mempelajari dasar-dasar ilmu komputer,
perangkat keras (hardware), dan perangkat
lunak (software).

6. Teknik Komputer?
1. Arsitektur Komputer
2. Jaringan Komputer
3. Sistem Operasi
4. Basis Data
5. Keamanan Komputer
6. Biomedis
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Pengenalan teknik komputer yang umum:

7. Teknik Komputer?
1. Arsitektur Komputer
2. Jaringan Komputer
3. Sistem Operasi
4. Basis Data
5. Keamanan Komputer
6. Biomedis
dll
Pengenalan teknik komputer yang umum:

8. Teknik Komputer
in Biomedical field
Drowsniness detection by Biosignal
Arthur Mourits Rumagit
Electrical Engineering Department
Engineering Faculty
Sam Ratulangi University

9. What is Biosignal ?
All types of biomedical systems either
generate the signals to influence the human
body.

10. Inattentive driving Lack of driving skill Drowsy driving
Personal behaviour
http://www.optalert.com
http://www.yd.com http://www.cars.blogspot.com http://www.insuranceagency.com
警報
Background
Alarm
Causes of traffic accident by human factor
Bad driving skill
Be careful while
driving
Going to driving
school
Physiological
condition
Difficult to prevent

11. EEG
50
0
-500 1 -500 1
50
0
Time[ s ] Time[ s ]
Awake Drowsy
Drowsiness detection
methods by Bio-signal
EEG
Akbar et al, BMEI Conf., 2015
High frequency, low amplitude Low frequency, high amplitude
[µV]
Electroencephalogram
Method

12. ECG
Drowsiness detection
methods by Bio-signal
ECG
Time[ s ]
0
-1500
3
0
2000
0
-1500
3
Time[ s ]
Awake Drowsy
2000
[µV]
Electrocardiogram
Method

13. 14
ECG
Drowsiness detection
methods by Bio-signal
ECG
Time[ s ]
0
-1500
3
0
2000
0
-1500
3
Time[ s ]
Awake Drowsy
2000
Gomez et al, IEEE Sensors J, 2012
Big
variation
Small
variation
HRV signal
（RR Interval）
[µV]
0
Electrocardiogram
Method

14. Eye
Awake Drowsy
Drowsiness detection
methods by Bio-signal
EOG
Shin et al, J Sleep Res, 2011
Eyeball movement
Awake Drowsy
Eyeblink
Saccade Slow eye movement
Short duration Long duration
Electrooculogram
(EOG), Eye tracker
Method

15. Thank you for your attention