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Automatic assessment of image quality in accordance with the human visual system (HVS) finds application in various image processing tasks. In the last decade, a substantial proliferation in image quality assessment (IQA) based on structural similarity has been observed. The structural information estimation includes statistical values (mean, variance, and correlation), gradient information, Harris...
The main objective of this work is to study the degree of engagement levels of human subjects in completing a series of tasks based on their physiological signals. The tasks are in the form of tracking a set of trajectories on the computer screen by using a mouse… The subjects are chosen randomly based on both sexes, aged from 20 to 40 years old. After completing the required tasks in a series of...
Stroke has become a very prevalent disease, especially in elder people. Many researches have focused on developing advanced and intelligent robotic system to assist the treatment of patients. For this field, Electromyography (EMG) is widely used for its benefit to get valuable information about the neuromuscular activity of a muscle. In this paper, wavelet packet decomposition method which is a kind...
Brain storm optimization (BSO) is a new kind of swarm intelligence algorithm inspired by human creative problem solving process. Human being is the most intelligent organism in the world and the brainstorming process popularly used by them has been demonstrated to be a significant and promising way to create great ideas for problem solving. BSO transplants the brainstorming process in human being...
Human action recognition is an important yet challenging task. The recently developed commodity depth sensors open up new possibilities of dealing with this problem but also present some unique challenges. The depth maps captured by the depth cameras are very noisy and the 3D positions of the tracked joints may be completely wrong if serious occlusions occur, which increases the intra-class variations...
A large number of vision applications rely on matching keypoints across images. The last decade featured an arms-race towards faster and more robust keypoints and association algorithms: Scale Invariant Feature Transform (SIFT)[17], Speed-up Robust Feature (SURF)[4], and more recently Binary Robust Invariant Scalable Keypoints (BRISK)[I6] to name a few. These days, the deployment of vision algorithms...
Individuals make commitments towards others in order to influence others to behave in certain ways. Most commitments may depend on some incentive that is required to ensure that the action is in the agent's best interest and thus, should be carried out to avoid eventual penalties. Similarly, individuals may ground their decision on an accurate assessment of the intentions of others. Hence, both commitments...
The ground penetrating radar (GPR) are widely used in recent years due to its potential applications and unique capabilities, especially in the earthquake search or rescue. In this paper, a novel adaptive line enhancer (ALE) algorithm for human respiration monitoring through obstacle with low-power GPR is presented. The results of through wall experiments show that it is feasible to use this algorithm...
While human behavior prediction can increase the capability of a robotic partner to generate anticipatory behavior during physical human robot interaction (pHRI), predictions in uncertain situations can lead to large disturbances for the human if they do not match the human intentions. In this paper we present a novel control concept in which the assistive control parameters are adapted to the uncertainty...
We present a novel learning method using activity grammars capable of learning reusable task components from a reasonably small number of samples under noisy conditions. Our linguistic approach aims to extract the hierarchical structure of activities which can be recursively applied to help recognize unforeseen, more complicated tasks that share the same underlying structures. To achieve this goal,...
Fiber tracking techniques are essential for representing and visualizing the cardiac fiber architecture information encoded in diffusion-tensor imaging (DTI) data. We propose a neighborhood-based probabilistic fiber tracking method for cardiac DTI which accounts for spatial correlation and data uncertainty. The method consists in tracking fiber paths by sampling step directions from a normalized weighted...
This paper presents an analysis of the effect of thirteen different kinds of sound on visual gaze when looking freely at videos to help to predict eye positions. First, an audio-visual experiment was designed with two groups of participants, with audio-visual (AV) and visual (V) conditions, to test the sound effect. Then, an audio experiment was designed to validate the classification of sound we...
Accurate inter-subject registration of magnetic resonance (MR) images of the human brain is required to allow meaningful comparisons across groups of subjects. Some anatomical structures can be very difficult to match and this can result in intensity based registration approaches inferring complex and implausible mappings in some regions. In this work, we propose a generic probabilistic framework...
Although electro larynx speech provides an important means for the laryngectomees for oral communication, the resulting speech is of poor intelligibility due to the radiated noise caused by the instrument. This paper concentrates here on the derivation of a minimum mean-square error spectral amplitude estimator, and on its application in electro larynx speech enhancement, also, the frequency domain...
During the wafer dicing process, the die are separated from a wafer of semiconductor. The dicing saw will leave the damage on the backside of the wafer and this damage needs to be accessed and inspected. The main damage on the backside of the wafer is chipping and delamination that can reduce the die strength. Backside chipping becomes a yield issue when micro-cracks exceed a certain length which...
We investigate body soft biometrics capabilities to perform pruning of a hard biometrics database improving both retrieval speed and accuracy. Our pre-classification step based on anthropometric measures is elaborated on a large scale medical dataset to guarantee statistical meaning of the results, and tested in conjunction with a face recognition algorithm. Our assumptions are verified by testing...
Centromere localization in human metaphase chromosomes is an essential task in many cytogenetic diagnosis procedures. The centromere location can be utilized to derive information such as the chromosome type, polarity assignment etc. Methods available in literature yield unreliable results mainly due to high variability of morphology in metaphase chromosomes and boundary noise in the image. In this...
A fully automated approach is presented for the feature selection for the application in diabetic retinopathy. Diabetic Retinopathy(DR) is a vascular disorder affecting the retina due to prolonged diabetes. It can lead to sudden vision loss due to DR.This work is aimed to develop an automated system to analyze the retinal images for extracting important features of diabetic retinopathy using the image...
We live in an era where billions of computers are interconnected. In the very near future, not only computers but also many different digital devices and other physical objects will be seamlessly connected to each other and be able to communicate with little or no human intervention. These interconnected objects are called smart devices, and this concept is called Internet of Things. In this paper,...
While automated speaker recognition by machines can be quite good as seen in NIST Speaker Recognition Evaluations, performance can still suffer when the environmental conditions, emotions, or recording quality changes. This research examines how robust humans are compared to machine recognition for changing environments. Several data conditions including short sentences, frequency selective noise,...
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