Monitoring the performance of computer user by analyzing physiological signals

In this paper, we have analyzed the physical and mental performance of computer user due to the long term use of computer by analyzing the variations in physiological signals. Performances of computer user are monitored by recording and analyzing the variations in Electrocardiogram (ECG), Electromyogram (EMG), Electrooculogram (EOG), and Electroencephalogram (EEG). Detecting the performance of computer user throughout the computing session will enable more development of computer where it can interacts with its user taking users effective state in to account; known as affective computing. This research work has analyzed the variations in physiological parameters of a computer user which indicates the physical and mental condition of the user. All the signals are taken by using BIOPAC system and analyzed by using BIOPAC AcqKnowledge software and MATLAB. The different data sets of 12 subjects were collected where all the subjects were undergo a specific session of computer using which includes different computer mediated task. Research shows that there are significant variations in physiological signals throughout the session. This variation indicates differences in user physical and mental performance and can be used for affective computing purpose.