A review of emotion recognition methods based on keystroke dynamics and mouse movements

The paper describes the approach based on using standard input devices, such as keyboard and mouse, as sources of data for the recognition of users' emotional states. A number of systems applying this idea have been presented focusing on three categories of research problems, i.e. collecting and labeling training data, extracting features and training classifiers of emotions. Moreover the advantages and examples of combining standard input devices with other sources of information on human emotions have been also described. Eventually some conclusions from the review have been drawn.