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The main purpose of this paper is to develop a system for the early diagnosis and detection of abnormalities of any patient during gait cycle. A malfunction in the gait cycle leads to pain, and undesirable effects on the bones of the legs due to large forces exerted on specific areas. The gait cycle is divided into two main phases, the stance that is characterized as the contact of the right leg with...
Due to the hand biomechanical constrains and coordinate manner of motor control, single one joint is difficult to move independently. The aim of this paper is to have an analysis on the joint independence of hand and wrist. At first, a grasp experiment under the tolerance grasping was completed, and the hand and wrist joint angles in different grasping postures were recorded for representing the functionality...
The work introduces a new means for quantification of dynamic stability and upper limb movement as a whole during gait. Swinging arms during gait performed by the experiment volunteers, as a cyclic motion, was quantified using two parameters AH (the convex hull area) and already known to the medical community - ROM (range of motion) revealed a potential use of the former in the scientific community...
In this paper, we propose a new class of random finite set (RFS), which is the union of a group of Bernoulli RFSs with unknown level of correlation, whose statistics are considered jointly. The proposed RFS is referred to as joint multi-Bernoulli (JMB) RFS defined by a set of parameters. As a preliminary study, this paper provides the derivations of set density, set marginal density of JMB RFS family,...
Realistic operating conditions of reverberation chambers are characterized by nonzero levels of inter- and intra-correlation between Cartesian field components and their I/Q components, giving rise to statistical anisotropy and complex ellipticity (noncircularity) of the random electromagnetic field, respectively. It is shown how empirical copulas for their joint probability distribution function...
Functional Magnetic Resonance Imaging has become a central measuring modality to quantify functional activiation of the brain in both task and rest. Most analysis used to quantify functional activation requires supervised approaches as employed in statistical parametric mapping (SPM) to extract maps of task induced functional activations. This requires strong knowledge and assumptions on the BOLD...
In this paper, a methodology based on Gaussian copulas is examined for generating rain attenuation time series. The methodology lies on the use of Gaussian copula for modeling the joint exceedance probability of rain attenuation for the temporal domain. In this paper, preliminary results for the validity of the use of Gaussian copula for modeling rain attenuation joint statistics on temporal domain...
We examine correlations between polarization and amplitude degrees of freedom for classical statistical optical fields with Bell-analysis experiments. Strong violations of the Clauser-Horne-Shimony-Holt inequality are observed. These constitute a new witness of classical macroscopic entanglement.
Biometric systems are becoming important since they provide efficient and more reliable means of human identity verification. Gait Recognition has created much interest in computer vision society over the last few years. In this paper, we have presented a Gait based human identification system using skeleton data acquired by using Microsoft Kinect sensor. The sensor acts as a digital eye which takes...
In this paper a joint spectral unmixing and clustering approach for the identification of homogeneous regions in hyperspectral images is proposed. The endmembers required in the unmixing stage are manually selected based on the most significant principal components of the image at hand. Each pixel is decomposed as a linear combination of the endmembers and is represented by the vector of the coefficients...
The rate-privacy function is defined in [1] as a tradeoff between privacy and utility in a distributed private data system in which both privacy and utility are measured using mutual information. Here, we use maximal correlation in lieu of mutual information in the privacy constraint. We first obtain some general properties and bounds for maximal correlation and then modify the rate-privacy function...
Canonical correlation analysis (CCA) is an established multivariate statistical method for finding similarities between linear combinations of (normally two) sets of multivariate observations. In this contribution we replace (linear) correlation as the measure of association between the linear combinations with the information theoretical measure mutual information (MI). We term this type of analysis...
We consider joint adaptive transmit(TX) and receive (RX) beamforming for interference mitigation in array sensing systems. Unlike conventional designs, which only employ adaptive processing for the RX beamforming, we propose a fully adaptive approach that jointly selects the transmit correlation matrix and RX beamformer by maximizing the signal-to-interference-plus-noise ratio (SINR). Due to imprecise...
In this paper we address the problem of computing the probability response time distribution of periodic tasks scheduled on a uniprocessor systems. Our framework assumes an arbitrary non-idling preemptive scheduling policy that may be either a fixed-priority scheduler (such as Rate Monotonic - RM) or a dynamic-priority scheduler (such as Earliest Deadline First - EDF). At the same time, our framework...
To accommodate the increasing wind energy with stochastic nature becomes a major issue on power system reliability. This paper proposes a methodology to characterize the spatiotemporal correlation of multiple wind farms. First, a hierarchical clustering method based on self-organizing maps is adopted to categorize the similar output patterns of several wind farms into joint states. Then the hidden...
In this paper, we address the problem of human pose estimation through a novel articulated Gaussian kernel correlation function which is applied to human pose tracking from a single depth sensor. We first derive a unified Gaussian kernel correlation that can generalize the previous Sum-of-Gaussians (SoG)-based methods for the similarity measure between a template and the observation. Furthermore,...
Emerging wireless sensor networks (WSNs) aim to overcome current needs for additional backbone infrastructure in mobile networks. Confronted with enormous requirements in terms of spectrum and energy efficiency, WSNs have been shown to benefit from distributed source coding (DSC) by means of multi-route redundancy. However, DSC in WSNs yields low performance regarding the correlation estimation of...
In this paper, a novel narrowband interference (NBI) cancellation scheme based on structured compressive sensing (SCS) for dependable vehicular communications systems is proposed. The temporal joint correlation of the repeated training sequences in the preamble are exploited by SCS-based differential measuring (SCS-DM) to acquire the joint measurements matrix of the NBI. Using the proposed structured...
Expressions for the outage probability of two-branch maximal-ratio and equal-gain combining system in a correlated κ-μ channel are obtained. The expressions are mathematically tractable, given in terms of well-known functions which are available in common mathematical software, and flexible enough to accommodate a myriad of correlation scenarios, useful in the analysis of a more general fading environment...
Speech and hand gestures form a composite communicative signal that boosts the naturalness and affectiveness of the communication. We present a multimodal framework for joint analysis of continuous affect, speech prosody and hand gestures towards automatic synthesis of realistic hand gestures from spontaneous speech using the hidden semi-Markov models (HSMMs). To the best of our knowledge, this is...
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