Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study Article Swipe
Fares Al-Shargie
,
Usman Tariq
,
Meera Alex
,
Hasan Mir
,
Hasan Al‐Nashash
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1109/access.2019.2944008
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1109/access.2019.2944008
In this paper, we present a method to improve emotion recognition based on the fusion of local cortical activations and dynamic functional network patterns. We estimate the cortical activations using power spectral density (PSD) with the Burg autoregressive model. On the other hand, we estimate the functional connectivity networks by utilizing the phase locking value (PLV). The results of cortical activations and connectivity networks show different patterns across three emotions at all frequency bands. Similarly, the results of fusion significantly improve the classification rate in terms of accuracy, sensitivity, specificity and the area under the receiver operator characteristics curve (AROC), p < 0:05. The average improvement with fusion in all evaluation metrics are 6.84% and 4.1% when compared to PSD and PLV alone, respectively. The results clearly demonstrate the advantage of fusion of cortical activations with dynamic functional networks for developing human-computer interaction system in real-world applications.
Related Topics
Concepts
Computer science
Fusion
Functional connectivity
Artificial intelligence
Electroencephalography
Pattern recognition (psychology)
Autoregressive model
Sensor fusion
Receiver operating characteristic
Speech recognition
Machine learning
Neuroscience
Psychology
Mathematics
Philosophy
Econometrics
Linguistics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2019.2944008
- https://ieeexplore.ieee.org/ielx7/6287639/8600701/08849985.pdf
- OA Status
- gold
- Cited By
- 65
- References
- 89
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2975452052
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2975452052Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2019.2944008Digital Object Identifier
- Title
-
Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-01-01Full publication date if available
- Authors
-
Fares Al-Shargie, Usman Tariq, Meera Alex, Hasan Mir, Hasan Al‐NashashList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2019.2944008Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/8600701/08849985.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/6287639/8600701/08849985.pdfDirect OA link when available
- Concepts
-
Computer science, Fusion, Functional connectivity, Artificial intelligence, Electroencephalography, Pattern recognition (psychology), Autoregressive model, Sensor fusion, Receiver operating characteristic, Speech recognition, Machine learning, Neuroscience, Psychology, Mathematics, Philosophy, Econometrics, LinguisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
65Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 11, 2023: 11, 2022: 14, 2021: 13Per-year citation counts (last 5 years)
- References (count)
-
89Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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