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References

 

Facial Expressions
 

Facial affect detection. [Online]. Available from: http://en.wikipedia.org/wiki/Affective_computing#Facial_affect_detection

 

Facial Action Coding System. [Online]. Available from: http://en.wikipedia.org/wiki/Facial_Action_Coding_System

 

FACS - Facial Action Coding System. [Online]. Available from: http://www.cs.cmu.edu/~face/facs.htm

 

Hidden Markov model. [Online]. Available from: http://en.wikipedia.org/wiki/Hidden_Markov_model

 

Ke, Shian-Ru; Thuc, Hoang L.U.; Lee, Yong-Jin; Hwang, Jenq-Neng; Yoo, Jang-Hee; Choi, Kyoung-Ho. (2013) 
"A Review on Video-Based Human Activity Recognition." Computers 2, no. 2, pp88-131. Available from: http://www.mdpi.com/2073-431X/2/2/88/htm

 

Bayesian network. [Online]. Available from: http://en.wikipedia.org/wiki/Bayesian_network

 

The three level system for mental state inference from video clips is based on:

 

Tadas Baltrušaitis, Daniel McDuff, Ntombi Banda, Marwa Mahmoud, Rana el Kaliouby, Peter Robinson, Rosalind Picard. Real-time inference of mental states from facial expressions and upper body gestures. International Conference on Automatic Face and Gesture Recognition, Santa Barbara, CA, March 2011. Available from: http://www.cl.cam.ac.uk/~pr10/publications/fera11.pdf

 

Rana El Kaliouby & Peter Robinson (2005). Real-time inference of complex mental states from facial expressions and head gestures. Real-time vision for HCI, Springer-Verlag. pp 181-200. Available from: http://www.cl.cam.ac.uk/~pr10/publications/rtv4hci05.pdf

 

Rana El Kaliouby, Peter Robinson. Real time inference of complex mental states from facial expressions and head gestures. Workshop on real-time vision for HCI, IEEE Conference on Computer Vision and Pattern Recognition, Washington, July 2004. Available from http://www.cl.cam.ac.uk/~pr10/publications/cvpr04a.pdf

 
Body Gesture

 

Gesture Recognition. [Online] . Available from : http://en.wikipedia.org/wiki/Gesture_recognition

 

Akhil Jaggarwal (2011) Emotion Recognition using Body Gesture and Pose. Independent study report. Rochester Institute of Technology.

 

Ginevra Castellano, Loic Kessous, and George Caridakis (2007) Multimodal emotion recognition from expressive faces, body gestures and speech. Independent research. EU-IST Project HUMAINE (Human-machine Interaction Network on Emotion).

 

Asha Kapur, Ajay Kapur, Naznin Virji-Babul, George Tzanetakis, and Peter F. Driessen (2005) Gesture-Based Affective Computing on Motion Capture Data. University of Victoria, Wake Forest University.

 

M. K. VIBLIS and K. J. KYRIAKOPOULOS (2000) Gesture Recognition: The Gesture Segmentation Problem. From Journal of Intelligent and Robotic Systems. National Technical University of Athens.

 
Speech
 

(Global Features)

Dellaert, F., Polzin, T., Waibel, A. Recognizing emotion in speech. Spoken Language, 1996. ICSLP 96. Proceedings. Fourth International Conference on, Volume: 3, 3-6 Oct. 1996. Pages: 1970 - 1973 vol.3.

 

(Local Features)

Lee, C. M., Yildirim, S., Bulut, M., Kazemzadeh A., Busso,C., Deng, Z., Lee, S., Narayanan, S.S., 2004, Emotion Recognition based on Phoneme Classes. to appear in Proc. ICSLP’04.

 

(Words Salience)

Lee C. M., Narayanan S.S., 2004, Towards detecting emotions in spoken dialogs. IEEE Trans. on Speech & Audio Processing, in press.

 

(General Ideas)

C. Busso, Z. Deng, S. Yildirim, M. Bulut, C. M. Lee, A. Kazemzadeh, S. Lee, U. Neumann, S. Narayanan, 2004, Analysis of Emotion Recognition using Facial Expressions, Speech and Multimodal Information, Emotion Research Group, Speech Analysis and Interpretation Lab Integrated Media Systems Center, Universtiy of Southern California.

 

(HMM)

X. Li, M. Parizeau, R. Plamondon, 2000, Training Hidden Markov Models with Multiple ObservationsÐA Combinatorial Method, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 4.

 

(KNN picture)

Ricky Ho, 2012, Pragmatic Programming Techniques, http://horicky.blogspot.co.uk/2012/06/predictive-analytics-neuralnet-bayesian.html

 

Physiological Responses
 

  1. Armando Barreto, Jing Zhai, Malek Adjouadi (2007). Non-intrusive Physiological Monitoring for Automated Stress Detection in Human-Computer Interaction. 1. Electrical and Computer Engineering Department, 2. Biomedical Engineering Department, Florida International University, Miami, Florida, USA [Accessed 15 Feb. 2015]

  2. Armando Barreto (2008). Non-intrusive Physiological Monitoring for Affective Sensing of Computer Users. Human Computer Interaction: New Developments, Kikuo Asai (Ed.), ISBN: 978-953-7619-14-5, InTech [Accessed 10 Feb. 2015]

  3. Kay Wang, Peter Gill, Jane Wolstenholme, Christopher P Price, Carl Heneghan, Matthew Thompson, Annette Plüddemann Contact details: Dr. Annette Plüddemann (2012). Non-contact infrared thermometers. Horizon Scan Report 0025. Primary Care Diagnostic Horizon Scanning Centre Oxford. [Accessed 10 Feb. 2015]

  4. Lauri Nummenmaa, Enrico Glerean, Riitta Hari, Jari K. Hietannen (2013). Bodily maps of emotions. Department of Biomedical Engineering and Computational Science and Brain Research Unit, O. V. Lounasmaa Laboratory, School of Science, Aalto University, FI-00076, Espoo, Finland; Turku PET Centre, University of Turku, FI-20521, Turku, Finland; and Human Information Processing Laboratory, School of Social Sciences and Humanities, University of Tampere, FI-33014, Tampere, Finland [Accessed 10 Feb. 2015]

  5. Erik Peper, Rick Harvey, I-Mei Lin, Hana Tylova, Donald Moss (2007) Is There More to Blood Volume Pulse Than Heart Rate Variability, Respiratory Sinus Arrhythmia, and Cardiorespiratory Synchrony?. Association for Applied Psychophysiology & Biofeedback. [Accessed 15 Feb. 2015]

  6. John Allen (2007). Photoplethysmography and its application in clinical physiological measurement. Regional Medical Physics Department, Freeman Hospital, Newcastle upon Tyne NE7 7DN, UK [Accessed 15 Feb. 2015]

  7. Shi, Ping (2009) Photoplethysmography in noninvasive cardiovascular assessment. PhD Theses. Loughborough University. https://dspace.lboro.ac.uk/2134/5399 [Accessed 15 Feb. 2015]

  8. Geert Langereis (2010). Photoplethysmography (PPG) system. The Blavatnik School of Computer Science [Accessed 15 Feb. 2015]

  9. R.W. Picard and J. Scheirer (2001). The Galvactivator: A Glove that Senses and Communicates Skin Conductivity. MIT Media Laboratory [Accessed 10 Mar. 2015]

  10. Jennifer Healey (2012). Physiological Sensing of Emotion. USC Institute for Creative Technologies[Accessed 20 Feb. 2015]

  11. Dr Jason J Braithwaite, Dr Derrick G Watson, Robert Jones, Mickey Rowe (2013) A Guide for Analysing Electrodermal Activity (EDA) & Skin Conductance Responses (SCRs) for Psychological Experiments. Technical Report: Selective Attention & Awareness Laboratory (SAAL) Behavioural Brain Sciences Centre, University ofBirmingham, UK [Accessed 20 Feb. 2015]

  12. Cherry, K. (n.d.). What are the 3 Major Theories of Emotion?. [online] About.com Education. Available at: http://psychology.about.com/od/psychologytopics/a/theories-of-emotion.htm [Accessed 5 Mar. 2015].

  13. Webspace.ship.edu, (2010). Four Theories of Emotion. [online] Available at: http://webspace.ship.edu/tosato/emotion.htm [Accessed 5 Mar. 2015]

  14. Hernandez J., Li Y., Rehg J., Picard R. W. (2014) BioGlass: Physiological parameter estimation using a head-mounted wearable device. MIT Media Laboratory [Accessed 10 Mar. 2015]

  15. Farwell, L., Richardson, D. and Richardson, G. (n.d.). Brain fingerprinting field studies comparing P300-MERMER and P300 brainwave responses in the detection of concealed information. Cognitive Neurodynamics, 7(4), pp.263-299. [Accessed 10 Mar. 2015]

three level system
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