Publication:
Classification of Human Emotions Using EEG Signals in a Simulated Environment

cris.author.scopus-author-id 57200578801
cris.author.scopus-author-id 57200576499
cris.author.scopus-author-id 57219421621
cris.author.scopus-author-id 56739343200
cris.author.scopus-author-id 55178487200
cris.author.scopus-author-id 57196198202
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department dc39e868-d141-4c40-b6cd-2198d5c09711
cris.virtualsource.department 9e552ad3-a7b9-4add-93e9-db1efcd610c1
cris.virtualsource.department 4c164295-f525-4858-a958-e65d0c3667e1
cris.virtualsource.department 00bae1e4-96f1-42cd-9b80-0172b39a20c0
cris.virtualsource.department 8a7be95b-95d1-4e12-9abb-0839dd8a54c3
dc.contributor.author Hafiz Halin
dc.contributor.author Wan Khairunizam Wan Ahmad
dc.contributor.author Wan Azani Wan Mustafa
dc.contributor.author Muhajir Ab. Rahim
dc.contributor.author Zuradzman Mohamad Razlan
dc.contributor.author Shahriman Abu Bakar
dc.date.accessioned 2024-09-28T23:04:28Z
dc.date.available 2024-09-28T23:04:28Z
dc.date.issued 2022-01-01
dc.description.abstract The Brain-Computer Interface (BCI) is a computer-based system that acquires and analyses brain signals. The analysis of brain signals shows the physiological change that happens to the drivers. The physiological changes detected by the BCI system may not be visible to the naked eye. By using the BCI, it increases the diagnostic capability to detect the drivers' emotions. The negative drivers' emotions may cause bad decision making during driving the vehicle. The proposed method was developed to study the related emotions that occur during driving in the simulation environment. The experiments were designed in two situations, which are manual and autonomous drive. In the manual mode, the subjects will control the steering wheel and acceleration of the simulated vehicle. While in autonomous mode, all controls are disable and the subjects will experience the automatic simulation drive. The EEG data was recorded during the simulated drive (manual and autonomous). The EEG data from the subjects were then categorised into five emotions classifications.
dc.identifier.doi 10.1109/ICSGRC55096.2022.9845131
dc.identifier.isbn [9781665468060]
dc.identifier.scopus 2-s2.0-85137144662
dc.identifier.uri https://hdl.handle.net/20.500.14170/5887
dc.language.iso en
dc.relation.funding Ministry of Higher Education, Malaysia
dc.relation.grantno undefined
dc.relation.ispartof 2022 IEEE 13th Control and System Graduate Research Colloquium, ICSGRC 2022 - Conference Proceedings
dc.relation.ispartofseries 2022 IEEE 13th Control and System Graduate Research Colloquium, ICSGRC 2022 - Conference Proceedings
dc.subject BCI | brain signal | driving simulation | emotions classifications
dc.title Classification of Human Emotions Using EEG Signals in a Simulated Environment
dc.type Conference Proceeding
dspace.entity.type Publication
oaire.citation.endPage 10
oaire.citation.startPage 7
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
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person.identifier.scopus-author-id 57200578801
person.identifier.scopus-author-id 57200576499
person.identifier.scopus-author-id 57219421621
person.identifier.scopus-author-id 56739343200
person.identifier.scopus-author-id 55178487200
person.identifier.scopus-author-id 57196198202
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