A fascinating new study by researchers at OSU has found that people can correctly identify another person’s feelings with 75% accuracy based only little changes in blood flow color around the nose, eyebrows, cheeks and chin.
The new research allowed scientists to construct computer programs that accurately recognize emotions using the same parameters of blood flow coloration with 90% accuracy. The newly documented research on the connection between the central nervous system and emotion expression in human faces was published in the Proceedings of the National Academy of Sciences.
Researchers see their work being used in the field of AI, hoping that it will allow machine learning programs to recognize and maybe even emulate human emotion–towards this end they are patenting their own algorithms. They have also found a way to commercialize the research through their spin-off company, Online Emotion.