TY - GEN
T1 - Development of Fatigue Detection Device Based on IR-UWB and Optic Sensor to Driver
AU - Boedinoegroho, Hanny
AU - Rahardjo, Adrian Kusuma
AU - Kurniawan, Arief
AU - Ketut Eddy Purnama, I.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Fatigue is one of the biggest causes of accidents when driving. Therefore, in this research we developed a fatigue detection device for the driver. This device consists of an Impulse Radio-Ultra Wideband (IR-UWB) sensor that serves to detect breathing (respiratory) waves and an Optics Sensor or photoplethysmograph (PPG) sensor that functions to detect the driver's heartbeat. The results of respiratory wave detection and heart rate will be processed using a single board computer and displayed on the monitor. Initial storage will be carried out on local storage then will proceed to cloud storage. The use of cloud storage will make data storage easier, making it easier to monitor online. The drivers data retrieval process takes place during the day and uses a private car under normal road conditions. The results of data retrieval and testing of the device will give a warning to the driver. The warning occurs if the heart rate is less than 60 beats per minute (bpm) and the is is less than 12 breaths per minute. The accuracy of each sensor in the data collection process are 98% for optical sensors and 88% to 94% for IR-UWB sensors.
AB - Fatigue is one of the biggest causes of accidents when driving. Therefore, in this research we developed a fatigue detection device for the driver. This device consists of an Impulse Radio-Ultra Wideband (IR-UWB) sensor that serves to detect breathing (respiratory) waves and an Optics Sensor or photoplethysmograph (PPG) sensor that functions to detect the driver's heartbeat. The results of respiratory wave detection and heart rate will be processed using a single board computer and displayed on the monitor. Initial storage will be carried out on local storage then will proceed to cloud storage. The use of cloud storage will make data storage easier, making it easier to monitor online. The drivers data retrieval process takes place during the day and uses a private car under normal road conditions. The results of data retrieval and testing of the device will give a warning to the driver. The warning occurs if the heart rate is less than 60 beats per minute (bpm) and the is is less than 12 breaths per minute. The accuracy of each sensor in the data collection process are 98% for optical sensors and 88% to 94% for IR-UWB sensors.
KW - Fatigue
KW - IR-UWB
KW - Optics Sensor
KW - PPG
KW - drowsy driving
UR - http://www.scopus.com/inward/record.url?scp=85084442597&partnerID=8YFLogxK
U2 - 10.1109/CENIM48368.2019.8973332
DO - 10.1109/CENIM48368.2019.8973332
M3 - Conference contribution
AN - SCOPUS:85084442597
T3 - 2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2019 - Proceeding
BT - 2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2019 - Proceeding
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2019
Y2 - 19 November 2019 through 20 November 2019
ER -