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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...
There has been wide range of expansion in hand gestures close in style, pattern, movement and feature as well as in meaning. From that aspect this following paper confabs an improved version of hand gesture recognition based on segmentation process and backpropagation algorithm through the analysis of myoelectric signals generates from the movement of brachioradialis muscle and antebrachial vein of...
Bangla handwritten character recognition is one of the complex works because of the wide variation of the Bangla character. In this paper we proposed a new approach for extracting the features of Bangla handwritten characters and then recognition of those characters using artificial neural network has done. For the feature extraction process we have used a row and column basis segmentation process...
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...
Biometrics includes the study of automatic methods for distinguishing human beings based on physical or behavioral traits. Finding good biometric methods has been researched extensively in recent years. Among several biometric features, ear is quite stable because it does not vary with age and emotion. The ear recognition works based on the height of the ear, reference line cut point and corresponding...
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