V. I. Vasil'ev, A. E. Sulavko, R. V. Borisov, S. S. Zhumazhanova, “Recognition of psychophysiological state of the user based on a hidden monitoring of computer systems”, Artificial Intelligence and Decision Making, 2017, Issue 3,Pages <nobr>21

This article is cited in 5 papers

Data analysis

Recognition of psychophysiological state of the user based on a hidden monitoring of computer systems

V. I. Vasil'ev^a, A. E. Sulavko^b, R. V. Borisov^c, S. S. Zhumazhanova^b

^a Ufa State Aviation Technical University
^b Omsk State Technical University
^c Siberian State Automobile and Highway Academy

Abstract: It is established that the signs of the voice, the keyboard handwriting and the nature of the work of the subject with a computer mouse contain the following information about psychophysiological state of the operator: normal, fatigue, intoxication, excited, relaxed (sleepy). Signs of voice are best in order to recognize fatigue or sleepy speaker. Keyboard handwriting in addition to these states has features that characterize the normal state of the operator. Some of the features of the work with a computer mouse contain information about the states of intoxication and sleepy. An experiment of the recognition of state was based on Bayes strategies and neural network approach, the best result: 5.9% errors of determination of the states for the monitoring of the subject is not more than 100 seconds.

Keywords: keyboard handwriting, biometric characteristic, voice signs, identification of psychophysiological conditions, the option of working with a computer mouse.