Journal
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
Volume -, Issue -, Pages -Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s12652-021-03679-8
Keywords
biometrics; Brainwaves; Electroencephalogram; Frequency analysis; Security; Stimuli
Categories
Funding
- Department of Electronics and Computer Engineering, Gokongwei College of Engineering
- Office of the Vice Chancellor for Research and Innovation (OVCRI) of the De La Salle University
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This study developed and evaluated a biometric-based user authentication system for a bank vault, using brainwaves extracted through an electroencephalogram device. Through cognitive task analysis and user acceptability evaluation, the results showed high accuracy of the system and ensured security for the vault.
The bank vault's security system require a reliable and highly secure authentication system. Providing a biometric-based authentication for safety vaults eliminates the possibility for a robber to forcefully demand access to the vault. Brainwaves are one of the most reliable biometrics of a person since it is unique and inherent to a person. This work develops and evaluates a biometric-based user authentication system for a bank vault that would extract the brainwaves using an electroencephalogram device of a user. The system was evaluated using cognitive tasks such as selective attention, reaction to stimuli, long-term memory, sustained attention and divided attention using frequency domain analysis. In addition, the duration of the authentication process and user acceptability were also evaluated. Results show through the cognitive task analysis that the vault is able to remain locked for almost 98% of the time. Finally, the accuracy of the system is 90.08% when the task for long-term memory is applied in best-case scenario.
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