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The goal of this work is to validate the impact of natural elicitation of emotions by the speakers during the development of speech emotion databases for Malayalam language. The work also proposes a Gaussian Mixture Model-Deep Belief Networks (GMM-DBN) based speech emotion recognition system. To test the effect of emotion elicitation by the speakers, two independent datasets with emotionally biased...
In general, the three main modules of color image classification systems are: color-to-grayscale image conversion, feature extraction and classification. The color-to-grayscale image conversion is the important pre-processing step which must incorporate the significant and discriminative contrast and structure information in the converted grayscale images as in the original color image. All the existing...
In general, the three main modules of the color scene classification systems are image decolorization, feature extraction and classification. The work presented in this paper focuses on image decolorization and classification as two stages. The first stage or objective of this paper is to improve the performance of the color scene classification system using deep belief networks (DBN) and support...
As the modern world is gradually becoming internet and computer savvy with huge amount of information stored and exchanged over the internet through digital images for covert communication. There are different methods to hide information in digital images in different domain. First part of this paper gives concise information about different approaches for exiting steganalysis techniques for information...
In this paper a fuzzy-type-image-fusion technique using hybrid SPIHT and SOMA. This method shows fusion of images and can be used for fusion of multi model image. It is concluded that fusion with advanced single levels offers better fusion quality. This method provides a comparative study between proposed & literature techniques and validation of the projected algorithm as Peak Signal to Noise...
The work presented in this paper investigates the significance of natural elicitation of emotions during the development of simulated full blown emotion speech databases emotion analysis. A subset of primary emotions such as anger, happy and sad emotions along with neutral utterances are used in the present work. The first part of the work discusses the development of a simulated full blown emotion...
Researchers have used one of the means for acquiring hand Signs like Web Camera, instrumented Glove, Depth Camera and Kinect sensor. In this paper, an Indian Sign Language recognition system is developed which recognizes ISL (with both hands) using Leap Motion sensor. This sensor overcomes the major issues in real time environment like background, lightening condition, and occlusion. The leap motion...
When imaging the heart, using a 2D ultrasound probe, different views can manifest depending on the location and angulations of the probe. Some of these views have been labeled as standard views, due to the presentation and ease of assessment of key cardiac structures in them. We present an approach for automatic recognition and classification of these standard views, as a potential enabler for automated...
A Brain Computer Interfaces (BCI) system enables users to control devices by acquiring and processing brain activity. An important component of a BCI system is feature extraction, which is responsible for representing brain signals in terms of essential components called features. This paper presents a comparison of the following feature extraction techniques for BCI; Common Spatial Patterns (CSP),...
Eye blinks and lateral eye movements are prominent in EEG signals which are obtained by placing electrodes in the frontal region of the brain. This paper presents a machine learning approach to detect eye movements and blinks from EEG data and map them as intents to control external devices like a computer desktop or a wheel chair.
In this paper, a reconfigurable hand Gesture Recognition System (GRS) has been designed and developed for multiple applications using vision based techniques. Image is acquired from the camera and processed using a DSP processor in real time. Processing involves image segmentation and palm extraction techniques for extracting palm shaped objects from the background image and gesture recognition technique...
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