TY - JOUR
T1 - SmartDetect
T2 - Safe Driving by Detecting Steering-Wheel Handling With a Single Smartwatch
AU - Mardi Putri, Rekyan Regasari
AU - Chang, Chin Chun
AU - Putra, Aditya Fitri Hananta
AU - Pamungkas, Setyan
AU - Liang, Deron
N1 - Publisher Copyright:
© 2001-2012 IEEE.
PY - 2024/5/15
Y1 - 2024/5/15
N2 - Holding the steering wheel with both hands is essential for safe driving. This article proposes a novel approach using only one off-the-shelf smartwatch to determine whether the driver is holding the steering wheel with both hands. Two classification models, namely, the individual and universal models, are proposed. An individual model focuses on a particular driver, while the universal model is applicable to all drivers. Both models extract vibration features from the watch's accelerometer signals using the Hilbert-Huang transform and classify the signal pattern by using support vector machines with a radial basis function kernel. Data samples were collected from 35 drivers. The universal model can achieve an accuracy of 98.51% for the hand on which a smartwatch is worn and 90.29% for the hand on which the smartwatch is not worn; the individual model achieves a higher accuracy of 99.21% for the hand on which a smartwatch is worn and 97.18% for the hand on which the smartwatch is not worn.
AB - Holding the steering wheel with both hands is essential for safe driving. This article proposes a novel approach using only one off-the-shelf smartwatch to determine whether the driver is holding the steering wheel with both hands. Two classification models, namely, the individual and universal models, are proposed. An individual model focuses on a particular driver, while the universal model is applicable to all drivers. Both models extract vibration features from the watch's accelerometer signals using the Hilbert-Huang transform and classify the signal pattern by using support vector machines with a radial basis function kernel. Data samples were collected from 35 drivers. The universal model can achieve an accuracy of 98.51% for the hand on which a smartwatch is worn and 90.29% for the hand on which the smartwatch is not worn; the individual model achieves a higher accuracy of 99.21% for the hand on which a smartwatch is worn and 97.18% for the hand on which the smartwatch is not worn.
KW - Hilbert-Huang transform (HHT)
KW - safe driving
KW - steering-wheel handling detection
UR - http://www.scopus.com/inward/record.url?scp=85189531124&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2024.3379486
DO - 10.1109/JSEN.2024.3379486
M3 - 期刊論文
AN - SCOPUS:85189531124
SN - 1530-437X
VL - 24
SP - 16325
EP - 16335
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 10
ER -