The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
EEG signals are neuroelectric signals which helps in analyzing the brain state of the Human being. Extracting Features of EEG signal in real time is the most challenging task because of its high variability and complexity. In this paper we have used FPGA (Virtex-5) for extracting the features in real time for Brain Computer Interface applications. Nowadays, Brain Computer Interface (BCI) plays a major...
Aiming at the characteristics of SIFT (Scale Invariant Feature Transform) algorithm which has large amount of calculation and can be highly paralleled, we propose an optimized FPGA implementation so that it can be accelerated on hardware. In this method, we firstly simplify the process of filtering image and generating Gaussian pyramids through selecting appropriate parameters and hardware structure,...
With the increase of colorectal cancer patients in recent years, the needs of quantitative evaluation of colorectal cancer are increased, and the computer-aided diagnosis (CAD) system which supports doctor's diagnosis is essential. In this paper, a hardware design of type identification module in CAD system for colorectal endoscopie images with narrow band imaging (NBI) magnification [1] is proposed...
We demonstrate through a pressure sensor matrix, that weight distribution on feet is influenced by body posture. A small cheap carpet equipped with low precision pressure sensor matrix is already sufficient to detect subtle activities and identity of the person on the carpet. By a 0.4 m2 matrix of 32 × 32, 12 bit pressure sensors, we achieve 78.7% accuracy for 11 test subjects performing 7 subtle...
This paper presents a simple and efficient design of a face recognition system, where feature extraction algorithm is employed based on the principle of spatial cross-correlation. In the feature extraction process, instead of processing the entire image at a time, only a pair of rows or columns of an image is considered which makes the algorithm very efficient and low-cost. Considering the cross-correlations...
Video and image content has begun to play a growing role in many applications, ranging from video games to autonomous self-driving vehicles. In this paper, we present accelerators for gist-based scene recognition, saliency-based attention, and HMAX-based object recognition that have multiple uses and are based on the current understanding of the vision systems found in the visual cortex of the mammalian...
Commonly sleep stages detection can be done using electroencephalogram (EEG) that is recorded in hospitals using Polysomnography (PSG) systems. PSG not only records brain signal but also electrocardiogram (ECG). In this paper an automatic sleep stages detection using FNGLVQ algorithm based solely on ECG signal is reported. We have compared two neural network algorithms' accuracies and implemented...
This paper deals with the evolutionary design of application specific feature shapes of Local Binary Pattern (LBP) features for object detection in image processing applications. LBP features are very often utilized in image classification systems which are used for pattern recognition. By using genetic algorithm the application of specific weak classifiers' feature shapes, which are highly optimized...
Arrhythmia is a condition when heart beats are not beating properly, either in rhythm or in intensity. Sometimes arrhythmia problems could make patients in dangerous condition due to their sortie. However, good classification and diagnostic in arrhythmia will help many lives from fatal menace. Many different diagnostics and classifications have been conducted recently by using neural network as their...
In this paper we propose a pedestrian detection algorithm and its implementation on a Xilinx Virtex-4 FPGA. The algorithm is a sliding window-based classifier, that exploits a recently designed descriptor, the covariance of features, for characterizing pedestrians in a robust way. In the paper we show how such descriptor, originally suited for maximizing accuracy performances without caring about...
Real-time face recognition by computer systems is required in many commercial and security applications since it is the only way to protect privacy and security. On the other hand, face recognition generates huge amounts of data in real-time. Filtering out meaningful data from this raw data with high accuracy is a complex task. Most of the existing techniques primarily focus on the accuracy aspect...
A number of techniques have been proposed in the literature for phoneme based speech recognition system. In this paper, a technique for automatic phoneme recognition using zero-crossings (ZC) and magnitude sum function (MSF) is proposed. The number of zero-crossings and magnitude sum function per frame are extracted and a minimum distance classifier is proposed to recognize the phonemes in each frame...
SIFT is regarded as one of the most powerful feature point detection algorithms in the world. The Orientation Calculation Part, defining major orientation of feature points, enables selected image features to be invariant to rotation changes. In this paper, we propose an FPGA-implementable hardware accelerator for this part. By introducing LUT-Based Square Root Computation and Shifting-Based Orientation...
In this paper, two schemes for FPGA implementation of multi-class SVM based isolated digit recognition system are proposed, one using only logic elements and another using both soft-core processor and logic elements(LEs). One of the major contributions of this paper is the proposal for implementation of the decision function using only fixed point arithmetic without compromising the recognition accuracy...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.