Detection of emergency braking intention using driver's electroencephalographic signals
| Autor: | Efrain Martinez, Javier M. Antelis, Luis Guillermo Hernandez-Rojas |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
050210 logistics & transportation
General Computer Science medicine.diagnostic_test Computer science 05 social sciences Work (physics) Early detection Workload Electroencephalography Lateralization of brain function body regions 03 medical and health sciences 0302 clinical medicine 0502 economics and business medicine Electrical and Electronic Engineering human activities 030217 neurology & neurosurgery Simulation |
| Zdroj: | IEEE Latin America Transactions. 17:111-118 |
| ISSN: | 1548-0992 |
| DOI: | 10.1109/tla.2019.8826702 |
| Popis: | This work investigates the recognition of the intention to perform emergency braking from driver’s electroencephalographic (EEG) signals. To do so, brain signals and vehicle data were recorded in a simulated driving environment while participants had to drive and to avoid potential collisions by performing emergency braking. To resemble realistic conditions, emergency braking were performed during the presence and absence of stress, workload and fatigue. Brain signals were used to study the classification between emergency braking ntention and normal driving. The results showed significant classification accuracies around 80% using EEG signals from the left hemisphere. On the basic of these results, this work shows the feasibility of incorporating recognizable driver’s brain signals into advanced driver-assistance systems to carry out early detection of emergency braking situations. |
| Databáze: | OpenAIRE |
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