Stanford University School of Medicine professor Walton Roth is using Affectiva Q™Sensors in a two-year, Veterans Administration-funded study of how breathing training helps veterans cope with post-traumatic stress disorder better. PDF
Picard, R.W., “Emotion research by the people, for the people.” Emotion Review, Volume 2, Issue 3 (July 2010). PDF
This peer-reviewed journal paper demonstrated the accuracy of the electrodermal activity sensor developed at MIT, on which the Affectiva Q Sensor is based. The experiments in this paper show that it compares favorably to another FDA-approved electrodermal activity sensor and that measurement on the wrist shows similar phasic activity to the traditional placement on the fingertips. Poh, M.Z., Swenson, N.C., Picard, R.W., “A Wearable Sensor for Unobtrusive, Long-term Assessment of Electrodermal Activity,” IEEE Transactions on Biomedical Engineering, vol.57, no.5, pp.1243-1252, May 2010. doi: 10.1109/TBME.2009.2038487 PDF
Picard, R.W., “Future Affective Technology for Autism and Emotion Communication,” Philosophical Transactions of the Royal Society B: Biological Sciences, doi: 10.1098/rstb.2009.0143 Phil. Trans. R. Soc. B 12 December 2009 vol. 364 no. 1535 3575-3584. abstract | PDF
el Kaliouby, R., Robinson, P., “The Emotional Hearing Aid: An Assistive Tool for Children with Asperger Syndrome.” Universal Access in the Information Society, 4(2), 2005.
el Kaliouby, R., Robinson, P., “Real-Time Vision for HCI,” chapter “Real-time Inference of Complex Mental States from Facial Expressions and Head Gestures,” pages 181–200. Spring-Verlag, 2005.
el Kaliouby, R., “Mind-reading Machines: The Automated Inference of Complex Mental States from Video.” PhD Dissertation, Computer Laboratory, University of Cambridge, 2005. PDF
Zeng, Z., Pantic, M., Roisman, G.I., and Huang, T.S., “A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions.” IEEE Transaction on Pattern Analysis and Machine Intelligence. (in press). PDF
Affective Computing by R. W. Picard (MIT Press, 2000)
Affectiva co-founders are also members of the MIT Media Lab – Affective Computing Group
http://affect.media.mit.edu
Dr. Matthew Goodwin, MIT, Scientific Advisor to Affectiva, Co-director MIT Autism Communication Technologies
http://act.media.mit.edu
Royal Society Symposium on Computation of Emotions in Man and Machine
http://rstb.royalsocietypublishing.org/content/364/1535.toc
University of Cambridge Computer Laboratory
(Affectiva founder el Kaliouby started her expression recognition technology work here)
http://www.cl.cam.ac.uk/research/rainbow/emotions/
Emotion-research.net
http://emotion-research.net/
IEEE Transactions on Affective Computing
http://www.computer.org/portal/web/tac
Affective Computing & Intelligent Interaction
http://www.affectivecomputing.org/