small Michel ValstarMichel Valstar is a lecturer at the University of Nottingham. He was a Visiting Researcher at MIT's Media Lab, and a Research Associate in the intelligent Behaviour Understanding Group (iBUG) at Imperial College London. He received his masters' degree in Electrical Engineering at Delft University of Technology in 2005 and his PhD in computer science at Imperial College London in 2008. Currently he is working in the fields of computer vision and pattern recognition, where his main interest is in automatic recognition of human behaviour, specialising in the analysis of facial expressions. Recently he has applied this to the field of behaviomedics: diagnosing, monitoring, and treating medical conditions that alter human behaviour, or that can be treated more efficiently with technology that senses or synthesises human behaviour. In 2011 he was the leading organiser of the first facial expression recognition challenge, FERA 2011 and the first and second Audio-Visual Emotion recognition Challenges, AVEC 2011, AVEC 2012, and AVEC 2013. AVEC 2013 had as sub-challenge the prediction of depression severity from face video and audio. In 2007 he won the BCS British Machine Intelligence Prize for part of his PhD work. He has published technical papers at authoritative Journals and conferences including SMC-B, TAC, CVPR, ICCV and SMC-B and his work has received popular press coverage in New Scientist and on BBC Radio.

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'Recovery [from depression] is a social exercise that can be assisted but never replaced by digital technologies' ?? https://t.co/za7VVjIUsk