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E-healthcare is emerging as a new technology for monitoring vital body parameters of patient having chronic disease or during disaster. Wireless Body Area Network (WBAN) is one such technology that is improving the quality of health care. WBAN has personal patient data. Attackers can access this data from Wireless Sensor Nodes (WSNs) or from the wireless channel between nodes and server; this requires...
Single trial detection of P300 signal is one of the trending areas of Brain Computer Interface (BCI) research. We propose a new method with a high level of accuracy to detect P300 signals in a single trial. Features were obtained with a new technique making use of the wavelet coefficients. Reduced feature dimension was achieved using Principal Component Analysis (PCA). Support Vector Machine (SVM)...
In this paper, an highly effective algorithm for copyright protection is proposed using a simple and efficient embedding technique for DWT-based video watermarking for indoor video watermarking applications. Discrete Wavelet Transform (DWT) is applied on the video frame to achieve frequency domain representation of video sequences. The frequency domain representations of DWT are low pass and high...
In this paper, an effective algorithm for providing copyright protection is proposed by using a new embedding strategy for Discrete Wavelet Transform-based video watermarking. Discrete Wavelet Transform (DWT) is applied on the video, to convert the spatial data into frequency domain, having low pass and high pass components. The low frequency component is used for generating the key, by using the...
This papers deals with an efficient image compression technique for images having low dynamic range. The images with low dynamic range generally have low intensity variations. By considering this fundamental characteristic into account we can go for image compression at higher ratio with small modifications to the existing block based EZW algorithm. To achieve the improvement in compression ratio,...
This papers deals with improved image compression technique for images having low dynamic range. It is a well known fact that the dynamic range of the images having low intensity variations is less. So by considering this fundamental characteristic into account we can go for image compression at higher ratio with small modifications to the existing algorithms. To achieve the higher compression ratio,...
Sign language is the language of the people with hearing and speaking disabilities. In it mostly hands are moved in a particular way which along with some facial expression produces a meaningful thought which the speaker would like to convey to others. Using the sign language people with speaking and hearing disabilities can communicate with others who know the language very easily but it becomes...
Moving object detection is very important in modern world for fast video surveillance. There are various methods used for detecting moving objects out of which frame differencing method is widely used and is most efficient method. In this paper we focus on the surveillance at the most secured areas such as airports, defense establishments, power stations etc. Similarly, the area where no human is...
In this paper, two compression mechanisms based on 3D-Discrete Wavelet Transform (DWT) and 2D Embedded Zero Wavelet (EZW) are compared depending on the mathematical parameters Peak Signal-to-Noise Ratio (PSNR) and compression ratio(CR). In this paper, we are using Haar wavelet decomposition for compression, as it has shown improved compression in recent years when used with the techniques like EZW,...
The paper presents a unified framework that aims at stabilization of real time images captured from a photosensitive sensor mounted on any mobile platform. Typically the real time images obtained from a mobile platform are prone to suffer from unwanted stray noise, presence of jitter, camera distortions which lead to suppression of finer details and thus make extraction of required information about...
In this paper, two video compression mechanisms based on 3D-Discrete Wavelet Transform (DWT) and 2D Embedded Zero Wavelet (EZW) are compared depending on the mathematical parameters i.e., Peak Signal-to-Noise Ratio (PSNR) and compression ratio(CR)to that of the standard mechanism. In this paper, we are using Haar wavelet decomposition along with standard EZW for compression, as it has shown improved...
The paper presents a real time image processing algorithm for distance estimation on Beagleboard. The system uses a single camera fixed at a stationary position to capture the real time image of target object and determine its distance in contrast to existing and most common vision algorithms of stereo vision. The image captured from a single forward facing camera suffers from high degree of uncertainty...
Moving object detection is very important in modern world for fast video surveillance. There are various methods used for detecting moving objects out of which frame differencing method is widely used and is most efficient method. In this paper we focus on the surveillance at the most secured areas such as airports, defense establishments, power stations etc. Similarly, the area where no human is...
Moving object detection is very important in modern world for fast video surveillance. There are various methods used for detecting moving objects out of which frame differencing method is widely used and is most efficient method. In this paper we focus on the surveillance at the most secured areas such as airports, defense establishments, power stations etc. Similarly, the area where no human is...
This paper deals with the application of Spatial and Temporal DWT (Discrete Wavelet transform) on the videos. Here we will discuss about three mechanisms and their performance on videos at increased DWT level. In any video processing algorithm, memory is the major criteria. In these three mechanisms dynamic (automatic) DWT level selection and manual level selection is implemented. Here we will also...
Moving object detection is fundamental step for automated surveillance system. Generally object detection is performed by some detectors or background subtraction technique. Ultimate aim to detect an object is to detect its edges from the background. There are different methods available for the edge detection of the object. In this paper we propose an idea to detect the edges of the moving object...
Electrocardiogram (ECG) is the most preferably used noninvasive test for diagnosis of cardiac rhythm. Irregular rhythm of heart beats is measured in terms of Heart Rate Variability (HRV). Analysis of HRV plays an important role in automated diagnosis of cardiac status. This paper deals with development of an embedded system suitable for real time HRV analysis. A low cost embedded system for monitoring...
In the modern era of the coal fired boilers combustion optimization plays a vital role for increasing the boiler efficiency and reducing the production of hazardous waste gases like NOX, SOX etc. Hence to optimize the combustion there are different ways to control the parameters of boiler combustion like 3T method, which includes Time, Temperature and Turbulence. Each of them can be controlled by...
The increasing use of wireless networks and the constant minituarization of electrical devices has empowered the development of body area networks (BAN). The BAN for medical applications cover continuous waveform sampling of biomedical signals, monitoring of vital signal information. In order to fulfill the diverse medical applications, these networks have to follow stringent technical requirements...
Dynamic properties of neural networks using dynamic neuron can be implemented with the analog dynamic synapse. The proposed circuit has few CMOS transistors but imitates well the dynamic properties of depressing synapses. Dynamical synapse increases the computational power of the neuronal network. An approach towards design of depressing synapse is presented in this paper towards achieving excitatory...
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