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Comment 2005 system used eye-contact for security (ACM) (Score 1) 134

In this paper from the 2005 ACM UIST (http://www.acm.org/uist/archive/index.html) conference a system is described that knew when more than one set of eyes were looking at a screen and then tinting the screen red to indicate a possible breech of security. Moreover this system was implemented on a mobile device, thus placing it in public situations where unauthorized eyes were likely to be a problem.

PAPER

"eyeLook:Âusing attention to facilitate mobile media consumption" http://portal.acm.org/citation.cfm?id=1095034.1095050&coll=GUIDE&dl=GUIDE&CFID=43353856&CFTOKEN=45571461

ABSTRACT:

One of the problems with mobile media devices is that they may distract users during critical everyday tasks, such as navigating the streets of a busy city. We addressed this issue in the design of eyeLook: a platform for attention sensitive mobile computing. eyeLook appliances use embedded low cost eyeCONTACT sensors (ECS) to detect when the user looks at the display. We discuss two eyeLook applications, seeTV and seeTXT, that facilitate courteous media consumption in mobile contexts by using the ECS to respond to user attention. seeTV is an attentive mobile video player that automatically pauses content when the user is not looking. seeTXT is an attentive speed reading application that flashes words on the display, advancing text only when the user is looking. By making mobile media devices sensitive to actual user attention, eyeLook allows applications to gracefully transition users between consuming media, and managing life.

eyeBlog 142

cottonbuds writes "Researchers at Human Media Lab, Queen's University in Canada presented the ECSGlasses: eye contact sensing glasses that report when people look at their wearer. When eye contact is detected, the glasses stream this information to appliances to inform these about the wearer's engagement. According to HML.Blog the ECSGlasses uses a wearable, wireless Eye-Contact Sensor (1.3MB .jpg) to gauge when the user receives eye-contact from an onlooker. eyeBlog uses this information to record and publish face-2-face conversations without dividing the user's attention between the event being recorded, and the device being used to record it. Moreover, because eyeBlog uses eye-contact to start and stop recording, users do not need to sift through hours of footage to find interesting segments. If you are the academic type you can read the paper (2.2MB .pdf), otherwise the video in .mpg (1:49min, 320x240, 7.5MB), or mp4 (1:49min, 320x240, 4.9MB) should explain everything. Video Mirror: .mp4 .mpg."

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