Drowsiness detection by thoracic effort signal analysis in real driving environments

Author

Rodríguez-Ibáñez, N. ; García-González, M.A. ; Fernández-Chimeno, M. ; Ramos-Castro, J.

Author_Institution

Biomed. Eng. at Ficosa Int. S.A, Mollet del Valles, Spain

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

6055

Lastpage

6058

Abstract

Detection of drowsiness while driving is a leading objective in advanced driver assistance systems. This work presents a new index to assess the alertness state of drivers based on the respiratory dynamics derived from an inductive band. More than 100 hours of driving in real environments from 13 healthy subjects were analyzed. The proposed method has a sensitivity of 93.7% and specificity of 86.3% in detecting full awake drivers while it has a sensitivity of 83.1% and specificity of 95.3% in detecting drowsy drivers. The results show that the proposed index may be promising to assess the alertness state of real drivers.

Keywords

medical signal detection; signal classification; advanced driver assistance systems; alertness state; drowsiness detection; respiratory dynamics; thoracic effort signal analysis; Consumer electronics; Electroencephalography; Indexes; Observers; Sleep; Vehicles; Adult; Algorithms; Attention; Automobile Driving; Ecosystem; Female; Humans; Male; Middle Aged; Monitoring, Ambulatory; Reproducibility of Results; Respiratory Mechanics; Sensitivity and Specificity; Sleep Stages; Thorax;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6091496

Filename

6091496