Title :
Blinking: Toward Wearable Computing that Understands your Current Task
Author :
Chen, S. ; Epps, Julien
Author_Institution :
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
Using cameras mounted near the eyes, the proposed system extracts information about blink patterns to estimate cognitive and perceptual loads and detect task transitions. Preliminary results pave the way for always-on wearable computing interfaces that understand the user´s current task type, load, and transition.
Keywords :
cameras; user interfaces; wearable computers; always-on wearable computing; blink pattern; camera; cognitive load; perceptual load; task transition detection; user load; user task type; user transition; Cameras; Cognition; Estimation; Eyelids; Human computer interaction; Market research; Ubiquitous computing; adaptive interfaces; cognitive load; eye blink; human-computer interaction; perceptual load; pervasive computing; task transition;
Journal_Title :
Pervasive Computing, IEEE
DOI :
10.1109/MPRV.2013.45
