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Being one of the most effective video technologies, wireless capsule endoscopy (WCE) offers the physicians to diagnose the gastrointestinal (GI) diseases like ulcer non-invasively. Physicians, while analyzing the WCE videos, find it tedious to detect ulcer because of the huge amount of image frames present in WCE videos. This tedious reviewing process at times leads to inaccuracy in diagnosing ulcer...
Command extraction from human beings becomes easier for a machine if it can analyze the non verbal ways of communication such as emotions. This paper focuses on improving the efficiency of extracting emotion from human facial expression images. The features that were extracted in this experiment were obtained from JAFFE (Japanese Female Facial Expression) database which includes 213 images of different...
The overall aim of the proposed skin lesions classification method is to improve the quality and accuracy of existing skin diagnostic system by establishing superior feature extraction and classification of skin lesions from standard digital images. At first, images of skin lesions are pre-processed by resizing, removing hair, removing noise by filtering and enhancing contrast. Rather than using RGB/HSV/YCbCr...
Recently the development of brain-computer interface applications has drawn the attention of researchers as it can assist physically challenged people to communicate with their brain electroencephalogram signal. In this paper, a Brain-Computer Interface (BCI) is designed using EEG signals to differentiate between two mental arithmetic tasks performed by the same subject. The presented BCI approach...
Wireless capsule endoscopy (WCE) is one of the most recent and effective video technologies to diagnose gastrointestinal (GI) diseases, such as ulcer in GI tract. Because of long duration of WCE videos, it is a burden for the physicians to analyze large number of image frames. This time consuming process often leads to human error. Hence, an automatic scheme for ulcer image detection in WCE video...
In this paper, a very low cost remote robotic diver system, namely R3Diver is developed for rapid underwater search and rescue operation. An efficient modular design is proposed which ensures both hydrostatic and hydrodynamic stability under various environmental conditions underwater. It offers user friendly control with ease of portability. One major advantage of the robot is that it provides a...
In recent times, landmines have created unaccounted fatalities across the world. The detection of mines buried beneath the surface is paramount to avert inhuman risks associated with mine deployment and explosion. In this paper, a substantive design of an intelligible landmine detective system is proposed based on precise control over aerial motion planning and metal detection. The proposed mine detector...
Automatic detection of alcoholics can play important role in reducing the number of road accidents and social violence. In this paper, a scheme for classifying alcoholic and non-alcoholic subjects is developed based on autocorrelation domain feature extraction. In order to investigate the difference in characteristics of EEG signal recorded after exposing visual stimulus to alcoholic and non-alcoholic...
Wireless capsule endoscopy (WCE) is a recent video technology to investigate bleeding in gastrointestinal (GI) tract. Generally, in a WCE video, a physician has to analyze a large number of image frames, which is very time consuming and often leads to human error. Hence, an automatic scheme for bleeding image detection in WCE video has great demand. In this paper, an automatic scheme based on image...
This paper presents an efficient design and implementation of a map integrated Surveillance-cum-rescue robotic system which can provide assistance during the accidental occurrences like earthquakes and structural collapses. When destructive events like quakes and mine collapses happen, often the victims do not get instant help to communicate with the outside world. An automated as well as manually...
Wireless capsule endoscopy (WCE) is a non-invasive video technology to detect small intestinal diseases, such as bleeding. It provides straight vision of patient's entire gastrointestinal (GI) tract, however examining large amount of images by physician takes longer time thus computer-aided scheme draws attention. In this paper, an effective features extraction scheme is proposed for automatic bleeding...
This paper presents a cardiac beat classification method based on wavelet analysis of decomposed ECG signals obtained via empirical mode decomposition (EMD). Instead of analyzing the given ECG signal directly, first the intrinsic mode functions (IMFs) are extracted by using the EMD and then the discrete wavelet packet decomposition (WPD) is performed only on the selected dominant IMFs. Both approximate...
Wireless capsule endoscopy (WCE) is a painless operative video technology to detect small intestine diseases, such as bleeding. Instead of using the most common RGB (red, green, blue) color scheme, in this paper, YIQ (luminance-Y, chrominance-IQ: in phase-I and quadrature-Q) color scheme is used for analyzing WCE video frames, which corresponds better to human color response characteristics. Analyzing...
In this paper, a speech emotion recognition method is proposed based on wavelet analysis on decomposed speech data obtained via empirical mode decomposition (EMD). Instead of analyzing the given speech signal directly, first the intrinsic mode functions (IMFs) are extracted by using the EMD and then the discrete wavelet transform (DWT) is performed only on the selected dominant IMFs. Both approximate...
In his paper a method of seizure detection has been proposed based on the Discrete Wavelet Transform (DWT) analysis of the dominant Intrinsic mode function(IMF) resulting from the Empirical Mode Decomposition(EMD) of the EEG signals. Considering the normalized energy, Fourier spectrum and cross-correlation coefficient analysis, only the 4th Level DWT coefficients of the dominant IMF is found reasonable...
Wireless capsule endoscopy (WCE) is an effective but painless video technology to detect small intestine diseases like bleeding. For analyzing WCE video frames, instead of using the most common RGB (red, green, blue) color scheme, in this paper, CMYK (Cyan-C, Magenta-M, Yellow-I and Black-K) color scheme is used, which is subtractive color model and more effective for color separation. First, a region...
In this paper, a method of seizure and non-seizure classification has been proposed based on the higher order statistics of the dominant Intrinsic mode function (IMF) resulting from the Empirical Mode Decomposition(EMD) of the EEG signals. Analyzing the temporal energy contents of different IMFs, it is found reasonable to determine the dominant IMF. In order to reduce the dimensionality, higher order...
Wireless capsule endoscopy (WCE) is a recently developed video technology to detect small intestine diseases, such as bleeding. For analyzing WCE video frames, instead of using the most common RGB (red, green, blue) color scheme, in this paper, HSV (hue, saturation, intensity value) color scheme is used, which corresponds better to human perception system. The HSV color scheme exhibits less sensitivity...
Wireless capsule endoscopy (WCE) is one of the most effective technologies to diagnose gastrointestinal (GI) diseases, such as bleeding in GI tract. Because of long duration of WCE video containing large number images, it is a burden for clinician to detect diseases in real time. In this paper, an automatic bleeding image detection method is proposed utilizing construction of an index image incorporating...
In this paper, a noisy speech enhancement method based on modified spectral subtraction performed on short time magnitude spectrum is presented. Here the cross-terms containing spectra of noise and clean signals are taken into consideration which are neglected in the traditional spectral subtraction method on the basis of the assumption that clean speech and noise signals are completely uncorrelated...
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