testing

Introduction:

A computer can, in a very real sense, read human minds. Although the dot’s gyrations are directed by a computer, the machine was only carrying out the orders of the test subject.

It uses the concept of cognitive psychology. Cognitive psychology sees the individual as a processor of information, in much the same way that a computer takes in information and follows a program to produce an output.

Machine vision is getting machines to ‘see’, giving them the ability to extract, analyze and make sense of information from images or video, in this case footage of facial expressions. Probabilistic machine learning describes the mechanism of enabling a machine to learn an association between features of an image such as facial expression and other classes of information, in this case emotions, from training examples. The most likely interpretation of the facial expressions is then computed using probability theory.

tion and follows a program to produce an output.

Machine vision is getting machines to ‘see’, giving them the ability to extract, analyze and make sense of information from images or video, in this case footage of facial expressions. Probabilistic machine learning describes the mechanism of enabling a machine to learn an association between features of an image such as facial expression and other classes of information, in this case emotions, from training examples. The most likely interpretation of the facial expressions is then computed using probability theory.