I think, therefore I am: usability and security of authentication using brainwaves
|Conference paper (help)|
|I think, therefore I am: usability and security of authentication using brainwaves|
|Authors:||John Chuang, Hamilton Nguyen, Charles Wang, Benjamin Johnson|
|Citation:||Financial Cryptography and Data Security 7862 in Lecture Notes in Computer Science : 1-16. 2013|
|Editors:||Andrew A. Adams, Michael Brenner, Matthew Smith|
|Publisher:||Springer, Berlin Heidelberg|
|Meeting:||FC 2013 Workshops|
|Database(s):||Google Scholar cites|
|Web:||DuckDuckGo Bing Google Yahoo! — Google PDF|
|Article:||Google Scholar PubMed|
|Restricted:||DTU Digital Library|
They find that among 15 subject they are able to identify subjects with a high accuracy based on data from only a single electrode.
|Subject group #1 (help)|
|Description:||UC Berkeley undergraduate or graduate students|
|Subjects/♂/♀:||15 / /|
|Approval:||Institutional Review Board|
Group 1 of 15 subjects were included in the study.
The study on the human subjects was approved by the Institutional Review Board.
- Electroencephalography with the Neurosky Mindset electrode, corresponding to electrode Fp1.
- 15 subjects, seven task, five times per session, two sessions per subject. A total of 15 x 7 x 5 x 2 = 1050 data set(?). Each subject was recorded for 40-50 minutes sessions on separate days.
- Only data from the alpha wave band (8-12 Hz) and beta wave band (12-30).
- Computation of the median magnitude across time for each frequency band.
- For each subject: a vector with two values(?)
- Comparing the features among subjects by the cosine similarity
- "Breathing": Closed eyes
- Simulated finger movement
- "Sports task"
- Single-channel EEG exhibit subject-specific patterns.
- Single-channel EEG biometrics ("authentication") is "just as accurate as multi-channel EEG" ("authentication").
- The signal is not affected by mental task, e.g., "personal pass-thought".
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