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)
Emotion detection from speech has been realized to provide benefits for more natural human-machine interaction. To detect the emotion from speech signal, an abundantly long continuous speech segment is needed. This paper proposed a navel approach for emotion detection based on relative amplitude of speech signal. Relative amplitude reduces bias of glottis(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)
The work being presented here portrays a novel approach for emotion recognition based on the texture analysis of facial images. The expression of the emotion on facial image manifests in variations in spatial arrangement and intensity of the pixels. The emotions can be recognized by taking note of these variations corresponding to the features being used(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)
The purpose of this paper is to evolve a robust text independent speaker identification system based on the wavelet transform, which is able to analyze signal at multiple resolutions. The proposed system identifies speakers by their acoustic characteristics embedded in speech signal of speakers. Features are obtained from approximation and detail(More)
The main goal of this paper is to design and implement a bank locker security system based on RFID and GSM technology which can be organized in bank, secured offices and homes. In this system only authentic person can be recovered money from bank locker. We have implemented a bank locker security system based on RFID and GSM technology containing door(More)