Exploring Brain-based Biometrics for Virtual Reality
Feng Lin, CMTC Fellow

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Summary:
I designed a cancelable brainwave-based biometrics. It can be reset just like a traditional PIN-based password, while other biometrics (e.g. face or iris) cannot. Biometrics is the technical term for body measurements and calculations, referring to metrics related to human characteristics. Biometrics authentication is used in computer science as a form of identification and access control.

Problem that Inspired Research:
When a hacker gets hold of your biometric (such as imprints of fingerprints or iris), you cannot grow a new fingerprint or a new iris.

Objective / Proposed Solution:
I propose to use event related potential (ERP) brain waves to serve a cancelable biometrics. Such brain wave is generated by external visual stimuli. 

Greatest Challenge to Overcome:
Designing an optimal visual stimuli update strategy to renew the brain password.

Benefits of Research:
Provide secure authentication for smart headwear (e.g. virtual reality, google glass) users.

Real-World Application(s):
A practical user authentication for smart headwear. As Alibaba has launched VR shopping, secure authentication becomes important to protect authorized shopping experience.

Innovations to Media and Technology:
This research contributes to smart headwear which has a head-mounted display including VR, video headphone, and google glass. (Smart Headwear is a general name for a set of headwear devices. The headwear with sensors is one type.)

Cutting-edge Technology Being Used:
I adopted an advanced dry EEG sensor for brainwave data collection, while traditional EEG sensor uses wet electrodes that is inconvenient to use.

Transdisciplinary Collaboration:
This research combines security, computer vision, and bio-signal processing.

Recognitions:
To appear in ConversationUS report.