Name
Title | ||
|---|---|---|
A Fuzzy Expert System for the Early Warning of Accidents Due to Driver Hypo-Vigilance |
Abstract | ||
|---|---|---|
In this paper a Fuzzy Expert System for the prediction of Hypovigilance-related accidents is presented. The system uses physiological
modalities in order to detect signs of extreme hypovigilance. An advantage of such a system is its extensibility regarding
the physiological modalities and features that it can use as inputs. In that way, even though currently only eyelid-related
features are exploited, in the future and for prototypes designed for professionals other physiological modalities, such as
EEG can be easily integrated in the existing system in order to make it more robust and reliable.
|
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/s00779-007-0170-3 | Personal and Ubiquitous Computing |
Keywords | Field | DocType |
genetic algorithms,early warning | Warning system,Modalities,Computer science,Fuzzy expert system,Vigilance (psychology),Human–computer interaction,Extensibility,Genetic algorithm,Fuzzy rule | Conference |
Volume | Issue | ISSN |
13 | 1 | 1617-4917 |
Citations | PageRank | References |
3 | 0.58 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| I. G. Damousis | 1 | 90 | 7.09 |
| Dimitrios Tzovaras | 2 | 1377 | 205.82 |
| Michael Gerasimos Strintzis | 3 | 1171 | 104.83 |