Abstract
We introduce our FatigurWatcher that detects fatigue of PC and mobile device users. To achieve our system, we use a web camera embedded into most of PC and mobile devices. The system captures user’s face in front of the devices and then quantifies face characters such as blinks, yawns, and facial inclinations every second. Although our fatigue detection is simple, we could achieve enough accuracy to use it for a wide variety of applications. Moreover, through our initial evaluations, we were able to determine that the number of blinks is the strongest indicator to detect possible fatigue. By running Bayesian estimations from the obtained data, we were able to determine that this system can detect fatigue with an accuracy of 87.5%. In this paper, we describe our FatigureWatch focusing on the concept, implementation, and evaluation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bao, D., Yang, Z., Song, Y.: Projection function for driver fatigue monitoring with monocular camera. In: Proceedings of ACM SAC, pp. 11–15, March 2007. https://doi.org/10.1145/1244002.1244022
Alhazmi, S., Saini, M., El Saddik, M.: Multimedia fatigue detection for adaptive infotainment. In: Proceedings of ACM HCMC, pp. 15–24, October 2015. https://doi.org/10.1145/2810397.2810440
King, D.E.: Dlib-ml: a machine learning toolkit. J. Mach. Learn. Res. 10, 1755–1758 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Tanaka, A., Yokogawa, T., Tobita, H. (2019). FatigueWatcher: Interactive Fatigue Detection for Personal Computer and Mobile Device. In: Ahram, T., Karwowski, W., Taiar, R. (eds) Human Systems Engineering and Design. IHSED 2018. Advances in Intelligent Systems and Computing, vol 876. Springer, Cham. https://doi.org/10.1007/978-3-030-02053-8_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-02053-8_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-02052-1
Online ISBN: 978-3-030-02053-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)