Variation of the Heartbeat and Activity as an Indicator of Drowsiness at the Wheel Using a Smartwatch

作者: Sergio Rios-Aguilar , José Luis Miguel Merino , Andrés Millán Sánchez , Álvaro Sánchez Valdivieso

DOI: 10.9781/IJIMAI.2015.3313

关键词:

摘要: Sleepiness is one of the first causal factors accidents. An estimated 10-30% road deaths are related to fatigue driving. A large number research studies have been conducted reduce risk accidents while Many these based on detection biological signals by drowsiness/sleepiness. The activity autonomic nervous system (ANS) presented alterations during different physical states such as stress or sleepiness. This measured ECG (electroencephalogram) and, in studies, it can be with variation heart beat (HRV-Heart Rate Variability) order analyze and then detect drowsiness/sleepiness drivers. main advantage that HRV performed using non invasive uncomfortable means compared EEG sensors. New Wearables technologies capable measuring further, other sensors like Accelerometer Gyroscope, embedded a simple clock allow us monitor user. Our goal use pulsations measurements conjunction for driver advance prevent derived from fatigue.

参考文章(23)
Pierluigi Casale, Oriol Pujol, Petia Radeva, Human Activity Recognition from Accelerometer Data Using a Wearable Device Pattern Recognition and Image Analysis. pp. 289- 296 ,(2011) , 10.1007/978-3-642-21257-4_36
Tomas Brezmes, Juan-Luis Gorricho, Josep Cotrina, Activity Recognition from Accelerometer Data on a Mobile Phone distributed computing and artificial intelligence. pp. 796- 799 ,(2009) , 10.1007/978-3-642-02481-8_120
M.H. Bonnet, D.L. Arand, Heart rate variability: sleep stage, time of night, and arousal influences. Electroencephalography and Clinical Neurophysiology. ,vol. 102, pp. 390- 396 ,(1997) , 10.1016/S0921-884X(96)96070-1
Muhammad Fahim, Iram Fatima, Sungyoung Lee, Young-Tack Park, None, EFM: evolutionary fuzzy model for dynamic activities recognition using a smartphone accelerometer Applied Intelligence. ,vol. 39, pp. 475- 488 ,(2013) , 10.1007/S10489-013-0427-7
Jordán Pascual Espada, Vicente García Díaz, Rubén González Crespo, Oscar Sanjuán Martínez, B.Cristina Pelayo G-Bustelo, Juan Manuel Cueva Lovelle, Using extended web technologies to develop Bluetooth multi-platform mobile applications for interact with smart things Information Fusion. ,vol. 21, pp. 30- 41 ,(2015) , 10.1016/J.INFFUS.2013.04.008
Gerald Bieber, Marian Haescher, Matthias Vahl, Sensor requirements for activity recognition on smart watches Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '13. pp. 67- ,(2013) , 10.1145/2504335.2504407
J A Horne, L A Reyner, Sleep related vehicle accidents. BMJ. ,vol. 310, pp. 565- 567 ,(1995) , 10.1136/BMJ.310.6979.565
Bobak Jack Mortazavi, Mohammad Pourhomayoun, Gabriel Alsheikh, Nabil Alshurafa, Sunghoon Ivan Lee, Majid Sarrafzadeh, Determining the Single Best Axis for Exercise Repetition Recognition and Counting on SmartWatches wearable and implantable body sensor networks. pp. 33- 38 ,(2014) , 10.1109/BSN.2014.21