Detection of sleep disturbances for road prevention [Detecção de distúrbios do sono para prevenção rodoviária]

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Goncalves, J (Author) Other; Silva, E (Author) Other; Carvalho, V (Author) Other

Conference proceedings International

Title: Iberian Conference on Information Systems and Technologies, CISTI

Pages: 1-4

13th Iberian Conference on Information Systems and Technologies, CISTI 2018

13 June 2018 through 16 June 2018

Indexing

Scopus - 1 Citation

Other information

Authenticus ID: P-00P-33X

DOI: 10.23919/cisti.2018.8399364

Abstract (EN): The detection of drowsiness signals is, of course, an important aspect of road safety and prevention, but the current systems have not been shown efficient, because alertness only arises when the individual is already in a state of drowsiness and episodes of sleep and micro-sleep at the wheel continue to exist, with known consequences. In addition, detecting signs of drowsiness (or better yet, predicting a state of drowsiness is insufficient because it warns that the problem exists (it is a reactive system), but does not understand or resolve it, for this it is necessary to carry out the evaluation of the quality of the sleep and the detection of disturbances or disturbances of sleep, not forgetting that each individual has a circadian rhythm that may not be compatible with the rhythm of their daily activity. However, the rigorous evaluation of sleep quality and the detection of sleep disorders requires a set of clinical equipment that is costly and incompatible with daily use. It is necessary to create a low-cost system that is capable of detecting the possible existence of sleep disorders and classifying each individual relative to their circadian rhythm in a non-intrusive way. © 2018 AISTI.

Language: Portuguese

Type (Professor's evaluation): Scientific