Tackling the possibility of extracting a brain digital fingerprint based on personal hobbies predilection
In an attempt to create a more familiar brain-machine interaction for biometric authentication applications, we investigated the efficiency of using the users' personal hobbies, interests, and memory collections. This approach creates a unique and pleasant experience that can be later utilized...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-03-01
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| Series: | Frontiers in Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2025.1487175/full |
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| author | Cristina Andronache Dan Curǎvale Irina E. Nicolae Ana A. Neacşu Georgian Nicolae Mihai Ivanovici |
| author_facet | Cristina Andronache Dan Curǎvale Irina E. Nicolae Ana A. Neacşu Georgian Nicolae Mihai Ivanovici |
| author_sort | Cristina Andronache |
| collection | DOAJ |
| description | In an attempt to create a more familiar brain-machine interaction for biometric authentication applications, we investigated the efficiency of using the users' personal hobbies, interests, and memory collections. This approach creates a unique and pleasant experience that can be later utilized within an authentication protocol. This paper presents a new EEG dataset recorded while subjects watch images of popular hobbies, pictures with no point of interest and images with great personal significance. In addition, we propose several applications that can be tackled with our newly collected dataset. Namely, our study showcases 4 types of applications and we obtain state-of-the-art level results for all of them. The tackled tasks are: emotion classification, category classification, authorization process, and person identification. Our experiments show great potential for using EEG response to hobby visualization for people authentication. In our study, we show preliminary results for using predilection for personal hobbies, as measured by EEG, for identifying people. Also, we propose a novel authorization process paradigm using electroencephalograms. Code and dataset are available here. |
| format | Article |
| id | doaj-art-e5c54539979f4faaaf90dc47d4b94165 |
| institution | DOAJ |
| issn | 1662-453X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj-art-e5c54539979f4faaaf90dc47d4b941652025-08-20T02:52:26ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2025-03-011910.3389/fnins.2025.14871751487175Tackling the possibility of extracting a brain digital fingerprint based on personal hobbies predilectionCristina Andronache0Dan Curǎvale1Irina E. Nicolae2Ana A. Neacşu3Georgian Nicolae4Mihai Ivanovici5Sigma Laboratory, CAMPUS Institute, National University of Science and Technology Politehnica Bucharest, Bucharest, RomaniaSigma Laboratory, CAMPUS Institute, National University of Science and Technology Politehnica Bucharest, Bucharest, RomaniaSigma Laboratory, CAMPUS Institute, National University of Science and Technology Politehnica Bucharest, Bucharest, RomaniaSigma Laboratory, CAMPUS Institute, National University of Science and Technology Politehnica Bucharest, Bucharest, RomaniaSigma Laboratory, CAMPUS Institute, National University of Science and Technology Politehnica Bucharest, Bucharest, RomaniaFaculty of Electrical Engineering and Computer Science, Electronics and Computers Department, Transilvania University, Brasov, RomaniaIn an attempt to create a more familiar brain-machine interaction for biometric authentication applications, we investigated the efficiency of using the users' personal hobbies, interests, and memory collections. This approach creates a unique and pleasant experience that can be later utilized within an authentication protocol. This paper presents a new EEG dataset recorded while subjects watch images of popular hobbies, pictures with no point of interest and images with great personal significance. In addition, we propose several applications that can be tackled with our newly collected dataset. Namely, our study showcases 4 types of applications and we obtain state-of-the-art level results for all of them. The tackled tasks are: emotion classification, category classification, authorization process, and person identification. Our experiments show great potential for using EEG response to hobby visualization for people authentication. In our study, we show preliminary results for using predilection for personal hobbies, as measured by EEG, for identifying people. Also, we propose a novel authorization process paradigm using electroencephalograms. Code and dataset are available here.https://www.frontiersin.org/articles/10.3389/fnins.2025.1487175/fullbiometric authenticationbrain-computer interface (BCI)category classificationelectroencephalogram (EEG)emotion classificationevent related potentials (ERP) |
| spellingShingle | Cristina Andronache Dan Curǎvale Irina E. Nicolae Ana A. Neacşu Georgian Nicolae Mihai Ivanovici Tackling the possibility of extracting a brain digital fingerprint based on personal hobbies predilection Frontiers in Neuroscience biometric authentication brain-computer interface (BCI) category classification electroencephalogram (EEG) emotion classification event related potentials (ERP) |
| title | Tackling the possibility of extracting a brain digital fingerprint based on personal hobbies predilection |
| title_full | Tackling the possibility of extracting a brain digital fingerprint based on personal hobbies predilection |
| title_fullStr | Tackling the possibility of extracting a brain digital fingerprint based on personal hobbies predilection |
| title_full_unstemmed | Tackling the possibility of extracting a brain digital fingerprint based on personal hobbies predilection |
| title_short | Tackling the possibility of extracting a brain digital fingerprint based on personal hobbies predilection |
| title_sort | tackling the possibility of extracting a brain digital fingerprint based on personal hobbies predilection |
| topic | biometric authentication brain-computer interface (BCI) category classification electroencephalogram (EEG) emotion classification event related potentials (ERP) |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2025.1487175/full |
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