Affective Computing
Affective Computing is defined as the study and development of systems and devices which are able to recognize, interpret, process and simulate human affects and emotions.
The origins of this branch of computer science can be traced as far back as to early philosophical inquiries into emotion, the modern definition can be tracked into the Rosalind Picard’s 1995 paper («Affective Computing» MIT Technical Report #321, 1995).
Starting from the first trial which used few passive sensors, at now, thanks to advanced computing technology, studies implement different kind of passive and active sensors including cameras, microphones, accelerometers etc; all with the aim of recognizing emotional information.
In the following video, the keynote speak of Rosalind Picard at Mobihealth 2017, on the state of the art of Affective Computing; past, present and future perspective.