NDLI: Smartwatch-based driver alertness monitoring with wearable motion and physiological sensor

Content Provider	IEEE Xplore Digital Library
Author	Boon-Giin Lee Boon-Leng Lee Wan-Young Chung
Copyright Year	2015
Description	Author affiliation: Dept. of Electron. Eng., Pukyong Nat. Univ., Busan, South Korea (Boon-Leng Lee; Wan-Young Chung) \|\| Dept. of Electron. Eng., Keimyung Univ., Daegu, South Korea (Boon-Giin Lee)
Abstract	Studies have shown that a high precision driver alertness monitoring system is an essential and a monetary countermeasure to reduce the road accidents. This paper presents a novel approach to measure the driver alertness, evaluated by a smartwatch device based on fusion of direct and indirect method. The driver chronic physiological state is monitor by adopting a photoplethysmography sensor on the driver finger that is connected to a wrist-type wearable device. A Bluetooth Low Energy module connected to the wearable device transmits the PPG data to the smartwatch in real-time. Meanwhile, the indirect method, driver steering wheel movement can be derived by utilizing the motion sensors integrated in the smartwatch which include a tri-axis accelerometer and a gyroscope sensors. The respiration signals can be derived from the PPG time- and frequency-domains attributes. The data obtained from both methods aforementioned are subsequently decomposed into relevant features in time, spectral context and phase space domain, and thus computes the alertness index. Here, the correlations between the extracted features and the subjective Koralinska Sleepiness Scale are studied as well along with the recorded experimental videos. This study reveals that the alertness index prediction accuracy can be reached up to 96.3% based on the descriptive extracted features.
Starting Page	6126
Ending Page	6129
File Size	1270030
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319790
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Feature extraction Wheels Monitoring Biomedical monitoring Acceleration Time-frequency analysis
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Health Informatics Signal Processing Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Wristband-Type Driver Vigilance Monitoring System Using Smartwatch

Towards mental stress detection using wearable physiological sensors

Toward seamless wearable sensing: Automatic on-body sensor localization for physical activity monitoring

Improved signal quality indication for photoplethysmographic signals incorporating motion artifact detection

Accelerometer body sensor network improves systolic time interval assessment with wearable ballistocardiography

Cardiac sounds from a wearable device for sternal seismocardiography

Pull test estimation in Parkinson's disease patients using wearable sensor technology

Wearable diet monitoring through breathing signal analysis

Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables

Smartwatch-based driver alertness monitoring with wearable motion and physiological sensor

Similar Documents

Wristband-Type Driver Vigilance Monitoring System Using Smartwatch

Towards mental stress detection using wearable physiological sensors

Toward seamless wearable sensing: Automatic on-body sensor localization for physical activity monitoring

Improved signal quality indication for photoplethysmographic signals incorporating motion artifact detection

Accelerometer body sensor network improves systolic time interval assessment with wearable ballistocardiography

Cardiac sounds from a wearable device for sternal seismocardiography

Pull test estimation in Parkinson's disease patients using wearable sensor technology

Wearable diet monitoring through breathing signal analysis

Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables

Smartwatch-based driver alertness monitoring with wearable motion and physiological sensor