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In this study, Electrooculogram (EOG) based Human-Machine Interface (HMI) application is proposed for partial or completely paralyzed and physically limited people as Amyotrophic Lateral Sclerosis (ALS) patients. In the designed system, EOG signals consisted of vertical and horizontal eye movements are detected by using 6 Ag-AgCl electrodes which placed around the eye. Then, by applying amplifying...
Wi-Fi signals have been typically acting as information carriers in modern communication system, but recent research has revealed their powerful capability in detecting and identifying various targets. With Wi-Fi, we can now "see" people's location, activity, and even hand gestures. In this paper, a new method of dynamic gesture recognition using Wi-Fi based on signal processing and machine...
We present a reduced dimensionality, information rich (RDIR) visual representation for scene information that distills the most distinguishing elements in an image, enabling scene classification by humans and computers under reduced dimensionality conditions. The representation utilizes the Gist model [1] to convey scene information in low bandwidth conditions, exhibiting enhanced classification performance...
Today, one of the most frequently encountered dysmorphic diseases, Down syndrome, includes different findings belonging to the face. Early diagnosis of Down syndrome is vital for individual's further life. The databases, which were benefited by making comparisons on pre-diagnosis of Down syndrome, are not objective as doctor's experiences come into prominence. To speed up pre-diagnosis and eliminate...
Classification of finger movement related to (electrocorticography) ECoG records is the main purpose of this study. Data set IV presented in BCI Competition IV was used in this study. This data set contains brain signals from three epileptic subjects and the data records consist of both ECoG and electronic glove data. ECoG segments related finger movements were extracted by means of finger movement...
We present a plant image recognition system geared towards plants with flowers. The system uses local invariants with Dense SIFT features and Bag of Visual Words representation, while the classification is done using Support Vector Machines. Our approach contains a pre-classification stage where images are categorized into color subgroups, to reduce the complexity of the problem. Using a 161-class...
Automatic kinship verification methods are conventionally based on facial appearance. In contrast to all published material, in this paper, we explore the use of facial expression dynamics and spatio-temporal features for kinship verification from smile videos. It is shown that the combined use of dynamic and spatio-temporal features extracted from spontaneous smiles significantly improves the state...
In this study, the performance of hyperspectral classification algorithms with limited training data investigated. Support Vector Machines (SVM) with Gaussian kernel is used. Principle Component Analysis (PCA) is employed for preprocessing and meanshift segmentation is used to incorporate spatial information with spectral information to observe the effect spatial information. Pattern search algorithm...
This study provides a new feature extraction method to gender classification. Local Zernike Moments is a method used for face recognition and proved that it is more successful than Gabor or LBP representations. In this study, LZM method is used for gender classification on FERET and LFW databases and demonstrated that it is more successful than LBP method on both databases. In the light of analysis...
Indexing requirement for efficient accessing to visual data has been increased with the widespread use of multimedia applications. Satisfaction of this requirement mostly depends on the automatic extraction of objects in the visual data. In this study, component-based object extraction method is compared with object extraction in its entirety. Applied method, implemented system and conducted tests...
Earthquakes are what happens when immediate vibrations which shake earth surface, spread as waves as a result of earth crust cracks. Earthquakes depend on variables such as the way of spreading of these waves, calculation of these waves and calculating methods, evaluations of these recorded data sets. Predicting probable earthquakes and minimizing the damages are the important factors. Decision systems...
Eye-gaze tracking is the process of measuring the position of user's gaze. It is widely being employed in Human Computer Interaction (HCI) research area as an alternative of traditional input devices such as mouse and keyboard. In this paper, a real time vision based gaze direction detection system which can recognizes gazes in four different directions (left, right, up and bottom of the screen) and...
The goal of this study is to explore the advantages of representing natural images with the cortical Layer-4 processing, which is the first step in visual information processing performed by the cerebral cortex of the brain. A cortical module, a macrocolumn, receives input from a small visual field and its Layer 4 performs a nonlinear transform of this input to generate its pluripotent representation...
A labeled text corpus made up of Turkish papers' titles, abstracts and keywords is collected. The corpus includes 35 number of different disciplines, and 200 documents per subject. This study presents the text corpus' collection and content. The classification performance of Term Frequcney — Inverse Document Frequency (TF-IDF) and topic probabilities of Latent Dirichlet Allocation (LDA) features are...
Automatic diagnosis of the Alzheimer's disease as well as monitoring of the diagnosed patients can make significant economic impact on societies. We investigated an automatic diagnosis approach through the use of speech based features. As opposed to standard tests that are mostly focused on memory recall, spontaneous conversations are carried with the subjects in informal settings. Prosodic speech...
Support vector machines (SVM) is one of the most important methods which has been frequently used in classification of remote sensing images. The classification performance of the SVM strictly depends on choice of convenient kernel function and its kernel parameters called model selection. In the case that the parameters are not appropriately chosen, SVM may result in relatively poor performance....
Auscultation and analysing of lung sound is widely used in clinical area for diagnosis of lung diseases. Due to the non-stationary nature of lung sounds conventional frequency analysis technique is not a successful method for respiratory sound analysis. In this paper, classification of normal and abnormal lung sound using wavelet coefficient intended. Respiratory sounds are decomposed into the frequency...
Recognition of video scenes is a challenging problem due to the unconstrained structure of the video content. Here, we propose a spatial pyramid based method for the recognition of video scenes and explore the effect of parameter optimization to the recognition accuracy. In the experiments different sampling methods, dictionary sizes, kernel methods, and pyramid levels are examined. Support Vector...
Automated cell imaging systems have been proposed for faster and more reliable analysis of biological events at the cellular level. The first step of these systems is usually cell segmentation whose success affects the other system steps. Thus, it is critical to implement robust and efficient segmentation algorithms for the design of successful systems. In the literature, the most commonly used methods...
A comparative study of various fall detection algorithms based upon measurements of a wearable tri-axial accelerometer unit is presented in this paper. Least squares support vector machine, neural network and rule-based classifiers are evaluated in the scope of this paper. Training and testing data sets, which are necessary for design and testing of the classifiers, respectively, are collected from...
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