When Does Your Brain Know You? Segment Length and Its Impact on EEG-based Biometric Authentication Accuracy
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866917617950785536 |
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| author | Alzahab, Nibras Abo Scalise, Lorenzo Baldi, Marco |
| author_facet | Alzahab, Nibras Abo Scalise, Lorenzo Baldi, Marco |
| contents | In the quest for optimal EEG-based biometric authentication, this study investigates the pivotal balance for accurate identification without sacrificing performance or adding unnecessary computational complexity. Through a methodical exploration of segment durations, and employing a variety of sophisticated machine learning models, the research seeks to pinpoint a threshold where EEG data provides maximum informational yield for authentication purposes. The findings are set to advance the field of non-invasive biometric technologies, proposing a practical approach to secure and user-friendly identity verification systems while also raising considerations for the real-world application of EEG-based biometric authentication beyond controlled environments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_12644 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | When Does Your Brain Know You? Segment Length and Its Impact on EEG-based Biometric Authentication Accuracy Alzahab, Nibras Abo Scalise, Lorenzo Baldi, Marco Cryptography and Security Signal Processing Neurons and Cognition In the quest for optimal EEG-based biometric authentication, this study investigates the pivotal balance for accurate identification without sacrificing performance or adding unnecessary computational complexity. Through a methodical exploration of segment durations, and employing a variety of sophisticated machine learning models, the research seeks to pinpoint a threshold where EEG data provides maximum informational yield for authentication purposes. The findings are set to advance the field of non-invasive biometric technologies, proposing a practical approach to secure and user-friendly identity verification systems while also raising considerations for the real-world application of EEG-based biometric authentication beyond controlled environments. |
| title | When Does Your Brain Know You? Segment Length and Its Impact on EEG-based Biometric Authentication Accuracy |
| topic | Cryptography and Security Signal Processing Neurons and Cognition |
| url | https://arxiv.org/abs/2403.12644 |