Investment decisions based on EEG emotion recognition
In the recent years, computational neuroscience which is a study on the brain functions was frequently applied to discover interesting patterns in the investment decisions. Emotions in neurofinance study have been measured by sentiments analysis but not measured by biosignal. Behavioural finance aff...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
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Ingenta Connect
2017
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| Online Access: | http://irep.iium.edu.my/61481/ http://irep.iium.edu.my/61481/13/ICCSE%20KK-Nurul%20Izzati.pdf http://irep.iium.edu.my/61481/19/61481_Investment%20decisions%20based%20on%20EEG_scopus.pdf |
| _version_ | 1848785681302683648 |
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| author | Mat Razi, Nurul Izzati Othman, Marini Yaacob, Hamwira Sakti |
| author_facet | Mat Razi, Nurul Izzati Othman, Marini Yaacob, Hamwira Sakti |
| author_sort | Mat Razi, Nurul Izzati |
| building | IIUM Repository |
| collection | Online Access |
| description | In the recent years, computational neuroscience which is a study on the brain functions was frequently applied to discover interesting patterns in the investment decisions. Emotions in neurofinance study have been measured by sentiments analysis but not measured by biosignal. Behavioural finance affects investors‘ performance which is also influenced by their emotional or cognitive errors in taking the investment decisions. This paper focused on the EEG-based emotion recognition recorded while making decisions that can also be helpful in investment’s returns. The features were extracted by using Mel Frequency Cepstal Coefficient (MFCC) and the classification used the Multi-Layer Perceptron (MLP) classifier. The EEG-based emotion recognition was tested by using the dimensional models of emotions, 12-PAC and rSASM, and also the Radboud Faces Database (RaFD). Results show that investment decisions can be driven by the emotions of the investor and some measurement should be taken before they lose their money. |
| first_indexed | 2025-11-14T16:57:00Z |
| format | Article |
| id | iium-61481 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:57:00Z |
| publishDate | 2017 |
| publisher | Ingenta Connect |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-614812018-03-14T06:46:32Z http://irep.iium.edu.my/61481/ Investment decisions based on EEG emotion recognition Mat Razi, Nurul Izzati Othman, Marini Yaacob, Hamwira Sakti QA76 Computer software In the recent years, computational neuroscience which is a study on the brain functions was frequently applied to discover interesting patterns in the investment decisions. Emotions in neurofinance study have been measured by sentiments analysis but not measured by biosignal. Behavioural finance affects investors‘ performance which is also influenced by their emotional or cognitive errors in taking the investment decisions. This paper focused on the EEG-based emotion recognition recorded while making decisions that can also be helpful in investment’s returns. The features were extracted by using Mel Frequency Cepstal Coefficient (MFCC) and the classification used the Multi-Layer Perceptron (MLP) classifier. The EEG-based emotion recognition was tested by using the dimensional models of emotions, 12-PAC and rSASM, and also the Radboud Faces Database (RaFD). Results show that investment decisions can be driven by the emotions of the investor and some measurement should be taken before they lose their money. Ingenta Connect 2017-11-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/61481/13/ICCSE%20KK-Nurul%20Izzati.pdf application/pdf en http://irep.iium.edu.my/61481/19/61481_Investment%20decisions%20based%20on%20EEG_scopus.pdf Mat Razi, Nurul Izzati and Othman, Marini and Yaacob, Hamwira Sakti (2017) Investment decisions based on EEG emotion recognition. Advanced Science Letters, 23 (11). pp. 11345-11349. ISSN 1936-6612 http://www.ingentaconnect.com/contentone/asp/asl/2017/00000023/00000011/art00197 10.1166/asl.2017.10280 |
| spellingShingle | QA76 Computer software Mat Razi, Nurul Izzati Othman, Marini Yaacob, Hamwira Sakti Investment decisions based on EEG emotion recognition |
| title | Investment decisions based on EEG emotion recognition |
| title_full | Investment decisions based on EEG emotion recognition |
| title_fullStr | Investment decisions based on EEG emotion recognition |
| title_full_unstemmed | Investment decisions based on EEG emotion recognition |
| title_short | Investment decisions based on EEG emotion recognition |
| title_sort | investment decisions based on eeg emotion recognition |
| topic | QA76 Computer software |
| url | http://irep.iium.edu.my/61481/ http://irep.iium.edu.my/61481/ http://irep.iium.edu.my/61481/ http://irep.iium.edu.my/61481/13/ICCSE%20KK-Nurul%20Izzati.pdf http://irep.iium.edu.my/61481/19/61481_Investment%20decisions%20based%20on%20EEG_scopus.pdf |