Personalized devices often require a form of user identification to provide customized performance and rudimentary privacy between a limited amount of users. Because of the personal nature of head mounted devices, the new and growing industry of head mounted displays requires a method to identify users to increase customizability and usability of such devices. This project introduces a system that accurately identifies users with common sensors included on head mounted displays. The proposed system records user blink behavior, head position and head movement and then uses high dimensional machine learning algorithms to identify users based on trends in their collected data. The system demonstrated over 98% accuracy, demonstrating its ability to identify users.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Witt, Alexander
• Rogers, Cynthia Elizabeth
• Solomon, Alexander Delong

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-031115-183105

Advisor

• Venkatasubramanian, Krishna Kumar

Year

• 2015

Date created

• 2015-03-11

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright