Issue No. 03 - July-Sept. (2013 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MPRV.2013.45
Siyuan Chen , The University of New South Wales
Julien Epps , The University of New South Wales
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.
Cameras, Ubiquitous computing, Estimation, Eyelids, Market research, Cognition, Human computer interaction, pervasive computing, eye blink, perceptual load, cognitive load, task transition, human-computer interaction, adaptive interfaces
J. Epps and S. Chen, "Blinking: Toward Wearable Computing that Understands your Current Task," in IEEE Pervasive Computing, vol. 12, no. , pp. 56-65, 2013.