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Detecting the stress of computer user in an office like environment will enable more development of computer and make it intelligent enough where it can interact with its user, taking users effective state in to account; known as affective computing. In this research work, we have analyzed physical and mental stress of a computer user in all day long working environment by analyzing variations in...
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...
Brain-Computer Interface (BCI) requires generating control signals for external device by analyzing and processing the internal brain signal. Cognitive or Mental State detection has its advantages in asynchronous BCI where the subjects are involved to the interface in response to some external stimulation. But the main problem is feature extraction and classification for different Cognitive State...
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