ARNEE:Automated Recognition of

Non-emotional Expressions

 
 


We have developed an automated method of identifying and representing non-emotional expressions in videos.  We aim to develop this approach to inform clinical diagnosis and evaluation of treatment efficacy in neurological conditions.


Clawson, K., Delicato, L. S. & Garfield, S. (2018) Automated Representation of Non-Emotional Expressivity to Facilitate Understanding of Facial Mobility: Preliminary Findings. Intelligent Systems Conference (Intellisys), 7th – 8th September, London, 2017.  doi: 10.1109/IntelliSys.2017.8324218


PI: Dr. Kathy Clawson: Kathy.Clawson@sunderland.ac.uk

Dr. Louise Delicato, Dr. Sheila Garfield