Monira Islam

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Human emotion reflects on human behavior which plays a vital role in physiological research and real-time application. Mathematical modeling of emotional states plays a significant role in this scope which can correlate between human cognition, emotion and mental behavior. In this paper, we propose a new approach to model the emotional states with(More)
Inherent features of Electroencephalogram (EEG) signal acts a vital role to determine the human brain condition. The motivation of this paper is to extract the inherent features of EEG signal by visual stimulation of different colors such as green, red, blue, yellow. For stimulation Microsoft PowerPoint slide of different colors are shown to the subjects.(More)
Cognitive state estimation with the variation of physiological signal has drawn extensive attention from disciplines such as psychology, cognitive science and engineering. In this paper, we present a cognitive state classification system to assess the subject's mental states based on EEG measurements. The cognitive state estimator is utilized in the context(More)
Modeling of human emotion with the effective frequency band of EEG signal plays a significant role in brain signal analysis and physiological research area. This paper describes an approach to model human emotion with the variations of different effective frequency bands of EEG signal during a test when subjected to sustained mental task. For this purpose,(More)
This paper presents an approach to estimate the cognitive states depending on the variations of different effective frequency bands of EEG signal with listening music. In this work, EEG signals are collected for different types of songs to analyze the musical activity on human brain. Spatial and temporal analysis are applied to the brain signals to extract(More)
Electrocardiogram (ECG) gives useful information about morphological and functional details of heart which is used to predict various cardiac diseases. In this paper a method of detecting cardiac diseases using support vector machine (SVM) is proposed. In this proposed method diseases are modeled using the time domain features of ECG signal which are(More)
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