About: Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG

Not logged in : Login

(Sponging disallowed)

Facets (new session)
Description
Metadata
Settings
- Rule:
- Inverse Functional Properties:
- "Same As":

About: Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG Goto Sponge NotDistinct Permalink

An Entity of Type : bibo:AcademicArticle, within Data Space : linkeddata.uriburner.com:28898 associated with source document(s)

Attributes	Values
type	http://eprints.org/ontology/ArticleEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #88998 Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG
sameAs	Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG
http://eprints.org/ontology/hasDocument	Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (PDF) Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (Other) Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (Other) Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (Other) Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (Other) Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (Other)
http://eprints.org/ontology/hasPublished	Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (PDF)
dc:hasVersion	Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG (PDF)
Title	Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2021-07-02
Creator	Howard Bowman I. McLoughlin Palaniappan Ramaswamy Surej Mouli
status	peer reviewed published
Publisher	IEEE
abstract	Half of all road accidents result from either lack of driver attention or from maintaining insufficient separation between vehicles. Collision from the rear, in particular, has been identified as the most common class of accident in the UK, and its influencing factors have been widely studied for many years. Rear-mounted stop lamps, illuminated when braking, are the primary mechanism to alert following drivers to the need to reduce speed or brake. This paper develops a novel brain response approach to measuring subject reaction to different brake light designs. A variety of off-the-shelf brake light assemblies are tested in a physical simulated driving environment to assess the cognitive reaction times of 22 subjects. Eight pairs of LED-based and two pairs of incandescent bulb-based brake light assemblies are used and electroencephalogram (EEG) data recorded. Channel Pz is utilised to extract the P3 component evoked during the decision making process that occurs in the brain when a participant decides to lift their foot from the accelerator and depress the brake. EEG analysis shows that both incandescent bulb-based lights are statistically slower to evoke cognitive responses than all tested LED-based lights. Between the LED designs, differences are evident, but not statistically significant, attributed to the significant amount of movement artifact in the EEG signal
Is Part Of	IEEE Transactions on Intelligent Transportation Systems https://kar.kent.ac.uk/id/repository
Subject	TE Highway engineering. Roads and pavements TL Motor vehicles. Aeronautics. Astronautics
list of authors	https://kar.kent.ac.uk/id/eprint/88998#authors
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #88998 Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG

Faceted Search & Find service v1.17_git144 as of Jul 26 2024

Alternative Linked Data Documents: iSPARQL | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 08.03.3331 as of Aug 25 2024, on Linux (x86_64-ubuntu_noble-linux-glibc2.38-64), Single-Server Edition (378 GB total memory, 15 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software