Liebe KogSys-ler,
am 19.4. um 10 Uhr (c.t., Lab), präsentieren Krist Fama und Daniel Schäfer die Ergebnisse ihres 15 ECTS Master-Projekts.
Wir freuen uns auf Ihr Kommen!
Pain Recognition with Cartesian Genetic Programming
Krist Fama, Daniel Schäfer (MA AI Projekt)
Pain recognition has recently received significant attention. Over the past years a lot of work is done in this field, trying to find the one equation which defines the pain expression of all humans. Hence it is not a trivial challenge and it depends on a lot of factors. Different methods has been tried in automating pain recognition and some of them achieved good results. We chose Cartesian Genetic Algorithm(CGP) to identify pain by generating a Regular Expression(RegEx) that combines Action Units(AUs). We systematically review the mutation, fitness function and the evolutionary algorithm to achieve good results. The implementation steps are summarized and the statistical result are shown. There are two underlying motivations for us to write this paper. First, wheather it is possible to achieve a simple RegEx which correctly identifies pain expressions of all humans and second to find out how CGP fits with our problem and what results it achieves.