Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect
Mobile and wearable devices embedded with multiple sensors for health monitoring and
disease diagnosis are growing fields with the potential to provide efficient means for remote …
disease diagnosis are growing fields with the potential to provide efficient means for remote …
Internet of Things: Remote patient monitoring using web services and cloud computing
J Mohammed, CH Lung, A Ocneanu… - … on internet of things …, 2014 - ieeexplore.ieee.org
The focus on this paper is to build an Android platform based mobile application for the
healthcare domain, which uses the idea of Internet of Things (IoT) and cloud computing. We …
healthcare domain, which uses the idea of Internet of Things (IoT) and cloud computing. We …
Driver behavior detection and classification using deep convolutional neural networks
Driver behavior monitoring system as Intelligent Transportation Systems (ITS) have been
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring …
widely exploited to reduce the traffic accidents risk. Most previous methods for monitoring …
A survey on state-of-the-art drowsiness detection techniques
Drowsiness or fatigue is a major cause of road accidents and has significant implications for
road safety. Several deadly accidents can be prevented if the drowsy drivers are warned in …
road safety. Several deadly accidents can be prevented if the drowsy drivers are warned in …
Driver behavior analysis for safe driving: A survey
S Kaplan, MA Guvensan, AG Yavuz… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Driver drowsiness and distraction are two main reasons for traffic accidents and the related
financial losses. Therefore, researchers have been working for more than a decade on …
financial losses. Therefore, researchers have been working for more than a decade on …
Intelligent driver drowsiness detection for traffic safety based on multi CNN deep model and facial subsampling
Facts reveal that numerous road accidents worldwide occur due to fatigue, drowsiness, and
distraction while driving. Few works on the automated drowsiness detection problem …
distraction while driving. Few works on the automated drowsiness detection problem …
Smartwatch-based wearable EEG system for driver drowsiness detection
Driver drowsiness is a major cause of mortality in traffic accidents worldwide. Many
physiological signals have been proposed to detect driver drowsiness. Among these …
physiological signals have been proposed to detect driver drowsiness. Among these …
Detection of driver drowsiness using wavelet analysis of heart rate variability and a support vector machine classifier
Driving while fatigued is just as dangerous as drunk driving and may result in car accidents.
Heart rate variability (HRV) analysis has been studied recently for the detection of driver …
Heart rate variability (HRV) analysis has been studied recently for the detection of driver …
Mobile communication for human needs: A comparison of smartphone use between the US and Korea
This study deals with two studies that develop and compare a measure and model of
hierarchical needs of smartphone use from US and Korean users. The first study examines …
hierarchical needs of smartphone use from US and Korean users. The first study examines …
A comprehensive review of driver behavior analysis utilizing smartphones
Human factors are the primary catalyst for traffic accidents. Among different factors, fatigue,
distraction, drunkenness, and/or recklessness are the most common types of abnormal …
distraction, drunkenness, and/or recklessness are the most common types of abnormal …