Gyanendra K. Verma

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The purpose of this paper is twofold: (i) to investigate the emotion representation models and find out the possibility of a model with minimum number of continuous dimensions and (ii) to recognize and predict emotion from the measured physiological signals using multiresolution approach. The multimodal physiological signals are: Electroencephalogram (EEG)(More)
RFID, Radio Frequency Identification is an inexpensive technology, can be implemented for several applications such as security, asset tracking, people tracking, inventory detection, access control applications. The main objective of this paper is to design and implement a digital security system which can deploy in secured zone where only authentic person(More)
Currently, the focus of research on human affect recognition has shifted from six basic emotions to complex affect recognition in continuous two or three dimensional space due to the following challenges: (i) the difficulty in representing and analyzing large number of emotions in one framework, (ii) the problem of representing complex emotions in the(More)
In this paper, we perform the face recognition using curvelet transform. In literature, multi resolution analyses of image through wavelet and Gabor transform have been quite exploited successfully for pattern recognition and so far, for face recognition. In contrast to wavelet transform, curvelet transform very efficiently approximate the curved edges with(More)
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