Next Article in Journal
A Survey of Assistive Technologies for Assessment and Rehabilitation of Motor Impairments in Multiple Sclerosis
Next Article in Special Issue
Education and Attachment: Guidelines to Prevent School Failure
Previous Article in Journal
Improving Human–Computer Interface Design through Application of Basic Research on Audiovisual Integration and Amplitude Envelope
Open AccessArticle

A Low-Cost Prototype for Driver Fatigue Detection

1
Madeira Interactive Technologies Institute, Universidade da Madeira, 9000-082 Funchal, Madeira, Portugal
2
Universidade da Madeira, 9000-082 Funchal, Madeira, Portugal
*
Author to whom correspondence should be addressed.
Multimodal Technol. Interact. 2019, 3(1), 5; https://doi.org/10.3390/mti3010005
Received: 12 December 2018 / Revised: 16 January 2019 / Accepted: 28 January 2019 / Published: 2 February 2019
Driver fatigue and inattention accounts for up to 20% of all traffic accidents, therefore any system that can warn the driver whenever fatigue occurs proves to be useful. Several systems have been devised to detect driver fatigue symptoms, such as measuring physiological parameters, which can be uncomfortable, or using a video or infrared camera pointed at the driver’s face, which in some cases, may cause privacy concerns for the driver. Usually these systems are expensive, therefore a brief discussion on low-cost fatigue detection systems is presented, followed by a proposal for a non-intrusive low-cost prototype, that aims to detect driver fatigue symptoms. The prototype consists of several sensors that monitor driver physical parameters and vehicle behaviour, with a total system price close to 30 euros. The prototype is discussed and compared with similar systems, pointing out its strengths and weaknesses. View Full-Text
Keywords: Low cost sensor; ITS; driver assistance system; fatigue detection; distraction detection Low cost sensor; ITS; driver assistance system; fatigue detection; distraction detection
Show Figures

Figure 1

MDPI and ACS Style

Meireles, T.; Dantas, F. A Low-Cost Prototype for Driver Fatigue Detection. Multimodal Technol. Interact. 2019, 3, 5.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop