An Identification System for Head Mounted Displays
Personalized devices often require a form of user identification to provide customized performance and rudimentary privacy. The new and growing industry of head mounted displays, such as Google Glass, requires a method to identify users to increase customizability and usability of such devices. This MQP introduced a system that identifies users with 98% accuracy based on blink behavior, head position, and head movement.
Wearable embedded devices are in common use in the medical industry; however, they don't yet have many security standards. To prevent scenarios that involve unauthorized sources intruding on a device, this MQP sought to devise and implement a wearable honeypot as a secure, lightweight (in terms of resource usage) addition to medical devices to add security to a BAN (Body Area Network).