Lecture by Daniel McDuff.
Presented at TEDxBerlin.
Daniel McDuff is building and utilizing scalable computer vision and machine learning tools to enable the automated recognition and analysis of emotions and physiology. He is currently principal research scientist at Affectiva and a post-doctoral research affiliate at the MIT Media Lab. At Affectiva Daniel is building state-of-the-art facial expression recognition software and leading analysis of the world’s largest database of human emotions (currently with 8B+ data points). Daniel completed his PhD in the Affective Computing Group at the MIT Media Lab in 2014 and has a B.A. and Masters from Cambridge University. His work has received nominations and awards from Popular Science magazine as one of the top inventions in 2011, South-by-South-West Interactive (SXSWi), The Webby Awards, ESOMAR, the Center for Integrated Medicine and Innovative Technology (CIMIT) and several IEEE conferences.