86,811 results match your criteria IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council[Journal]


HUOPM: High-Utility Occupancy Pattern Mining.

IEEE Trans Cybern 2019 Feb 20. Epub 2019 Feb 20.

Mining useful patterns from varied types of databases is an important research topic, which has many real-life applications. Most studies have considered the frequency as sole interestingness measure to identify high-quality patterns. However, each object is different in nature. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2896267DOI Listing
February 2019

Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environment.

IEEE Trans Cybern 2019 Feb 21. Epub 2019 Feb 21.

Visual cognition of the indoor environment can benefit from the spatial layout estimation, which is to represent an indoor scene with a 2-D box on a monocular image. In this paper, we propose to fully exploit the edge and semantic information of a room image for layout estimation. More specifically, we present an encoder-decoder network with shared encoder and two separate decoders, which are composed of multiple deconvolution (transposed convolution) layers, to jointly learn the edge maps and semantic labels of a room image. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2895837DOI Listing
February 2019

Learning Manifold Structures With Subspace Segmentations.

IEEE Trans Cybern 2019 Feb 20. Epub 2019 Feb 20.

Manifold learning has been widely used for dimensionality reduction and feature extraction of data recently. However, in the application of the related algorithms, it often suffers from noisy or unreliable data problems. For example, when the sample data have complex background, occlusions, and/or illuminations, the clustering of data is still a challenging task. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2895497DOI Listing
February 2019

Output Consensus for Heterogeneous Linear Multiagent Systems With a Predictive Event-Triggered Mechanism.

IEEE Trans Cybern 2019 Feb 20. Epub 2019 Feb 20.

In this paper, an output consensus problem for a heterogeneous linear multiagent system with a predictive event-triggered mechanism on directed graphs is investigated. An event-triggered consensus protocol is proposed by introducing an internal reference model for each agent to handle the heterogeneity existing in the system. With the proposed mechanism, each agent predicts its internal reference model's input by employing the estimate of the internal reference model's state differences between itself and its neighbor agents. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2895044DOI Listing
February 2019

Adaptive Finite-Time Fuzzy Control of Nonlinear Active Suspension Systems With Input Delay.

IEEE Trans Cybern 2019 Feb 20. Epub 2019 Feb 20.

This paper presents a new adaptive fuzzy control scheme for active suspension systems subject to control input time delay and unknown nonlinear dynamics. First, a predictor-based compensation scheme is constructed to address the effect of input delay in the closed-loop system. Then, a fuzzy logic system (FLS) is employed as the function approximator to address the unknown nonlinearities. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2894724DOI Listing
February 2019

Effects of Stimulus Exploration Length and Time on the Integration of Information in Haptic Softness Discrimination.

IEEE Trans Haptics 2019 Feb 20. Epub 2019 Feb 20.

In haptic perception information is often sampled serially (e.g. a stimulus is repeatedly indented to estimate its softness), requiring that sensory information is retained and integrated over time. Read More

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http://dx.doi.org/10.1109/TOH.2019.2899298DOI Listing
February 2019

Impedance Spectroscopy Based on Linear System Identification.

IEEE Trans Biomed Circuits Syst 2019 Feb 20. Epub 2019 Feb 20.

Impedance spectroscopy is a commonly used measurement technique for electrical characterization of a sample-under-test over a wide frequency range. Most measurement methods employ a sine wave excitation generator, which implies a point-by-point frequency sweep and a complex readout architecture. This paper presents a fast, wide-band, measurement method for impedance spectroscopy based on linear system identification. Read More

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http://dx.doi.org/10.1109/TBCAS.2019.2900584DOI Listing
February 2019

Exploiting Self-capacitances for Wireless Power Transfer.

IEEE Trans Biomed Circuits Syst 2019 Feb 20. Epub 2019 Feb 20.

Conventional approaches for wireless power transfer rely on the mutual coupling (near-field or far-field) between the transmitter and receiver transducers. As a result, the power-transfer efficiency of these approaches scales non-linearly with the cross-sectional area of the transducers and with the relative distance and respective alignment between the transducers. In this paper we show that when the operational power-budget requirements are in the order of microwatts, a self-capacitance (SC) based power delivery has significant advantages in terms of power transfer-efficiency (PTE), receiver form-factor and system scalability when compared to other modes of wireless power transfer (WPT) methods. Read More

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http://dx.doi.org/10.1109/TBCAS.2019.2900433DOI Listing
February 2019

An ensemble method to reconstruct gene regulatory networks based on multivariate adaptive regression splines.

IEEE/ACM Trans Comput Biol Bioinform 2019 Feb 20. Epub 2019 Feb 20.

Gene regulatory networks (GRNs) play a key role in biological processes. However, GRNs are diverse under different biological conditions. Reconstructing gene regulatory networks (GRNs) from gene expression has become an important opportunity and challenge in the past decades. Read More

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http://dx.doi.org/10.1109/TCBB.2019.2900614DOI Listing
February 2019

Shrinking Circles: Adaptation to Increased Curvature Gain in Redirected Walking.

IEEE Trans Vis Comput Graph 2019 Feb 20. Epub 2019 Feb 20.

Real walking is the most natural way to locomote in virtual reality (VR), but a confined physical walking space limits its applicability. Redirected walking (RDW) is a collection of techniques to solve this problem. One of these techniques aims to imperceptibly rotate the user's view of the virtual scene in order to steer her along a confined path whilst giving the impression of walking in a straight line in a large virtual space. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2899228DOI Listing
February 2019

Auditory Feedback for Navigation with Echoes in Virtual Environments: Training Procedure and Orientation Strategies.

IEEE Trans Vis Comput Graph 2019 Feb 18. Epub 2019 Feb 18.

Being able to hear objects in an environment, for example using echolocation, is a challenging task. The main goal of the current work is to use virtual environments (VEs) to train novice users to navigate using echolocation. Previous studies have shown that musicians are able to differentiate sound pulses from reflections. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898787DOI Listing
February 2019

Multi-User Redirected Walking and Resetting Using Artificial Potential Fields.

IEEE Trans Vis Comput Graph 2019 Feb 20. Epub 2019 Feb 20.

Head-mounted displays (HMDs) and large area position tracking systems can enable users to navigate virtual worlds through natural walking. Redirected walking (RDW) imperceptibly steers immersed users away from physical world obstacles allowing them to explore unbounded virtual worlds while walking in limited physical space. In cases of imminent collisions, resetting techniques can reorient them into open space. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898764DOI Listing
February 2019

The Virtual Caliper: Rapid Creation of Metrically Accurate Avatars from 3D Measurements.

IEEE Trans Vis Comput Graph 2019 Feb 21. Epub 2019 Feb 21.

Creating metrically accurate avatars is important for many applications such as virtual clothing try-on, ergonomics, medicine, immersive social media, telepresence, and gaming. Creating avatars that precisely represent a particular individual is challenging however, due to the need for expensive 3D scanners, privacy issues with photographs or videos, and difficulty in making accurate tailoring measurements. We overcome these challenges by creating "The Virtual Caliper", which uses VR game controllers to make simple measurements. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898748DOI Listing
February 2019

A Statistical Shape Constrained Reconstruction Framework for Electrical Impedance Tomography.

IEEE Trans Med Imaging 2019 Feb 19. Epub 2019 Feb 19.

A statistical shape constrained reconstruction (SSCR) framework is presented to incorporate the statistical prior information of human lung shapes for lung electrical impedance tomography (EIT). The prior information is extracted from 8000 chest computed tomography scans across 800 patients. The reconstruction framework is implemented with two approaches- a one-step SSCR and an iterative SSCR in lung imaging. Read More

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http://dx.doi.org/10.1109/TMI.2019.2900031DOI Listing
February 2019

A Krasnoselskii-Mann Algorithm with an Improved EM Preconditioner for PET Image Reconstruction.

IEEE Trans Med Imaging 2019 Feb 19. Epub 2019 Feb 19.

This paper presents a preconditioned Krasnoselskii-Mann (KM) algorithm with an improved EM preconditioner (IEM-PKMA) for higher-order total variation (HOTV) regularized positron emission tomography (PET) image reconstruction. The PET reconstruction problem can be formulated as a threeterm convex optimization model consisting of the Kullback-Leibler (KL) fidelity term, a nonsmooth penalty term and a nonnegative constraint term which is also nonsmooth.We develop an efficient KM algorithm for solving this optimization problem based on a fixed-point characterization of its solution, with a preconditioner and a momentum technique for accelerating convergence. Read More

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http://dx.doi.org/10.1109/TMI.2019.2898271DOI Listing
February 2019

Synthesizing Supervision for Learning Deep Saliency Network without Human Annotation.

IEEE Trans Pattern Anal Mach Intell 2019 Feb 20. Epub 2019 Feb 20.

Salient object detection is undergoing a remarkable development along with the wide usage of deep neural networks. Being trained with a large number of images annotated with strong pixel-level ground-truth masks, deep salient object detectors have achieved state-of-the-art performance. However, it is expensive and time-consuming to provide pixel-level ground-truth masks for each training image. Read More

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http://dx.doi.org/10.1109/TPAMI.2019.2900649DOI Listing
February 2019

Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits.

IEEE Trans Pattern Anal Mach Intell 2019 Feb 19. Epub 2019 Feb 19.

We present a novel and effective method for detecting 3D primitives in cluttered, unorganized point clouds, without axillary segmentation or type specification. We consider the quadric surfaces for encapsulating the basic building blocks of our environments in a unified fashion. We begin by contributing two novel quadric fits targeting 3D point sets that are endowed with tangent space information. Read More

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http://dx.doi.org/10.1109/TPAMI.2019.2900309DOI Listing
February 2019

Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications.

IEEE Trans Pattern Anal Mach Intell 2019 Feb 19. Epub 2019 Feb 19.

Convex formulations of low-rank matrix factorization problems have received considerable attention in machine learning. However, such formulations often require solving for a matrix of the size of the data matrix, making it challenging to apply them to large scale datasets. Moreover, in many applications the data can display structures beyond simply being low-rank, e. Read More

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http://dx.doi.org/10.1109/TPAMI.2019.2900306DOI Listing
February 2019

The Classification of Minor Gait Alterations Using Wearable Sensors and Deep Learning.

IEEE Trans Biomed Eng 2019 Feb 21. Epub 2019 Feb 21.

Objective: This paper describes how non-invasive wearable sensors can be used in combination with deep learn- ing to classify artificially induced gait alterations without the requirement for a medical professional or gait analyst to be present. This approach is motivated by the goal of diagnosing gait abnormalities on a symptom by symptom basis, irrespective of other neuromuscular movement disorders patients may be affected by. This could lead to improvements in treatment and offer a greater insight into movement disorders. Read More

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http://dx.doi.org/10.1109/TBME.2019.2900863DOI Listing
February 2019

Enhanced antitumor efficacy achieved through combination of nsPEFs and low-dosage paclitaxel.

IEEE Trans Biomed Eng 2019 Feb 21. Epub 2019 Feb 21.

Looking for a safe and effective cancer therapy for patients is becoming an important and promising research direction. Nanosecond pulsed electric field (nsPEF) has been known as a potential non-thermal therapeutic technique with few side effects in pre-clinical studies. On the other hand, Paclitaxel (PTX), as a common chemotherapeutic agent, shows full anti-tumor activities and is used to treat a wide variety of cancers. Read More

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http://dx.doi.org/10.1109/TBME.2019.2900720DOI Listing
February 2019

A novel single-character visual BCI paradigm with multiple active cognitive tasks.

IEEE Trans Biomed Eng 2019 Feb 20. Epub 2019 Feb 20.

Objective: To introduce a novel event-related potential (ERP)-based brain-computer interface (BCI) paradigm with active mental tasks multiplying precise judgments and visual cognitive capacities and evaluate its performance.

Methods: This study employed a paradigm with three types of targets (true-, pseudo-, non-), double flash codes, colors and color terms, and four test conditions. The primary hypothesis was that active mental tasks combining multiple cognitive capacities and clear judgments for different categories of stimuli increase the BCI performance and evoke stronger or specific ERPs. Read More

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http://dx.doi.org/10.1109/TBME.2019.2900555DOI Listing
February 2019

Highlighting directional reflectance properties of retinal substructures from D-OCT images.

IEEE Trans Biomed Eng 2019 Feb 19. Epub 2019 Feb 19.

Optical Coherence Tomography (OCT), which is routinely used in ophthalmology, enables transverse optical imaging of the retina and hence the identification of the different neuronal layers. Directional OCT (D-OCT) extends this technology by acquiring sets of images at different incidence angles of the light beam. In this way, reflectance properties of photoreceptor substructures are highlighted, enabling physicians to study their orientation, which is potentially an interesting biomarker for retinal diseases. Read More

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http://dx.doi.org/10.1109/TBME.2019.2900425DOI Listing
February 2019

FMG vs EMG: A Comparison of Usability for Real-time Pattern Recognition Based Control.

IEEE Trans Biomed Eng 2019 Feb 19. Epub 2019 Feb 19.

Force Myography (FMG), which measures the surface pressure profile exerted by contracting muscles, has been proposed as an alternative to electromyography (EMG) for human-machine interfaces. Although FMG pattern recognition-based control systems have yielded higher offline classification accuracy, but comparatively few works have examined the usability of FMG for real-time control. In this work, we conduct a comprehensive comparison of EMG and FMG-based schemes using both classification and regression controllers. Read More

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http://dx.doi.org/10.1109/TBME.2019.2900415DOI Listing
February 2019

Recording of Neural Activity with Modulation of Photolysis of Caged Compounds using Microelectrode Arrays in Rats with Seizures.

IEEE Trans Biomed Eng 2019 Feb 20. Epub 2019 Feb 20.

Objective: In this work, a new method was established to monitor multichannel neural activity with microelectrode arrays (MEAs) under modulation of caged compounds in a rat model of seizures.

Methods: The 16-channel MEAs were fabricated and implanted into the hippocampus of normal rats and epileptic rats for neural spike and local field potential (LFP) recording. Using optical fibers with drug delivery tubing, two different caged compounds (ruthenium-bipyridine-trimethylphosphine glutamate (RuBi-Glu) and ruthenium-bipyridine-trimethylphosphine gamma aminobutyric acid (RuBi-GABA)) were applied, and blue light (465 nm) was used to modulate neural activity. Read More

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http://dx.doi.org/10.1109/TBME.2019.2900251DOI Listing
February 2019

FeetBeat: A Flexible Iontronic Sensing Wearable Detects Pedal Pulses and Muscular Activities.

IEEE Trans Biomed Eng 2019 Feb 19. Epub 2019 Feb 19.

Objective: Human feet have long been considered in close association with whole-body health, from which abundant cardiovascular and skeletomuscular information can be extracted. In this study, we aim to develop the world's first foot-based wearable system that can detect both pedal pulses and muscular activities, referred to as FeetBeat.

Methods: Utilizing the flexible iontronic sensing (FITS) technology, we have constructed and characterized a five-unit sensing array for detection of both pedal pulse signals and muscular activities. Read More

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http://dx.doi.org/10.1109/TBME.2019.2900224DOI Listing
February 2019

Angle-Closure Detection in Anterior Segment OCT Based on Multilevel Deep Network.

IEEE Trans Cybern 2019 Feb 15. Epub 2019 Feb 15.

Irreversible visual impairment is often caused by primary angle-closure glaucoma, which could be detected via anterior segment optical coherence tomography (AS-OCT). In this paper, an automated system based on deep learning is presented for angle-closure detection in AS-OCT images. Our system learns a discriminative representation from training data that captures subtle visual cues not modeled by handcrafted features. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2897162DOI Listing
February 2019

Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training.

IEEE Trans Cybern 2019 Feb 15. Epub 2019 Feb 15.

Movie recommendation systems provide users with ranked lists of movies based on individual's preferences and constraints. Two types of models are commonly used to generate ranking results: 1) long-term models and 2) session-based models. The long-term-based models represent the interactions between users and movies that are supposed to change slowly across time, while the session-based models encode the information of users' interests and changing dynamics of movies' attributes in short terms. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2896766DOI Listing
February 2019

Distributed Secure Cooperative Control Under Denial-of-Service Attacks From Multiple Adversaries.

IEEE Trans Cybern 2019 Feb 15. Epub 2019 Feb 15.

This paper develops a fully distributed framework to investigate the cooperative behavior of multiagent systems in the presence of distributed denial-of-service (DoS) attacks launched by multiple adversaries. In such an insecure network environment, two kinds of communication schemes, that is, sample-data and event-triggered communication schemes, are discussed. Then, a fully distributed control protocol with strong robustness and high scalability is well designed. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2896160DOI Listing
February 2019

A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization.

IEEE Trans Cybern 2019 Feb 15. Epub 2019 Feb 15.

Dynamic multiobjective optimization (DMO) has gained increasing attention in recent years. Test problems are of great importance in order to facilitate the development of advanced algorithms that can handle dynamic environments well. However, many of the existing dynamic multiobjective test problems have not been rigorously constructed and analyzed, which may induce some unexpected bias when they are used for algorithmic analysis. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2896021DOI Listing
February 2019

Optimization Tools Based on Metaheuristics for Performance Enhancement in a Gaussian Adaptive PID Controller.

IEEE Trans Cybern 2019 Feb 15. Epub 2019 Feb 15.

This paper presents the proposal of using two bio-inspired metaheuristics--genetic algorithms (GAs) and particle swarm optimization (PSO)--to adjust the free coefficients of a Gaussian adaptive proportional-integral-derivative (GAPID) controller. When a specific adaptation rule is imposed to a conventional proportional-integral-derivative (PID) controller, either by means of a hyperbolic tangent function or a Gaussian function, the solution is left exposed to the function restrictions/impositions. Finding the correct proportionality between the parameters is an arduous task, which often does not have an algebraic solution. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2895319DOI Listing
February 2019

Torus-Event-Based Fault Diagnosis for Stochastic Multirate Time-Varying Systems With Constrained Fault.

IEEE Trans Cybern 2019 Feb 15. Epub 2019 Feb 15.

In this paper, the torus-event-based fault detection and isolation (FDI) problem is investigated for a class of time-varying multirate systems. An ellipsoidal constraint is first adopted to describe the fault in a more practical pattern, and a novel torus-event-triggering scheme is proposed to improve the unilateral triggering mechanism. The aim is to design the torus-event-based fault detection filter and fault isolation estimators such that both the prescribed variance constraint on the estimation error and the desired H∞ performance on the disturbance are guaranteed over the finite horizon. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2895238DOI Listing
February 2019

Multiview Hybrid Embedding: A Divide-and-Conquer Approach.

IEEE Trans Cybern 2019 Feb 14. Epub 2019 Feb 14.

We present a novel cross-view classification algorithm where the gallery and probe data come from different views. A popular approach to tackle this problem is the multiview subspace learning (MvSL) that aims to learn a latent subspace shared by multiview data. Despite promising results obtained on some applications, the performance of existing methods deteriorates dramatically when the multiview data is sampled from nonlinear manifolds or suffers from heavy outliers. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2894591DOI Listing
February 2019

Observer-Based Adaptive Fuzzy Decentralized Event-Triggered Control of Interconnected Nonlinear System.

IEEE Trans Cybern 2019 Feb 18. Epub 2019 Feb 18.

This paper addresses the decentralized output feedback problem of an interconnected nonlinear system subject to uncertain interactions. A decentralized event-triggered control scheme is presented so that the decentralized output feedback problem is solved with only event-sampling states. With the proposed triggering mechanism, each subsystem only uses local signals to construct the decentralized controller at its own triggering times or the switching times. Read More

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http://dx.doi.org/10.1109/TCYB.2019.2894024DOI Listing
February 2019

Pattern-Reversal Visual Evoked Potential on Smart Glasses.

IEEE J Biomed Health Inform 2019 Feb 15. Epub 2019 Feb 15.

Objective: this work presents an integrated device, based on smart glasses, for the pattern reversal visual evoked potential (PR-VEP) clinical test.

Methods: smart glasses are used to generate the checkerboard changing pattern, with its related red fixation point through an Android® application. Electroencephalographic signals, for monitoring the stimulus generated by PR-VEP, were amplified close to the scalp and then transmitted wirelessly to a PC. Read More

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http://dx.doi.org/10.1109/JBHI.2019.2899774DOI Listing
February 2019

An Early Disc Herniation Identification System for Advancement in the Standard Medical Screening Procedure based on Bayes Theorem.

IEEE J Biomed Health Inform 2019 Feb 15. Epub 2019 Feb 15.

The aim of this research was to analyze objectively the process of disc herniation identification using Bayes Theorem. One of the symptoms of discus hernia is muscle weakness on the foot that is caused by displaced discs in the space of two vertebrae. This fact is used by experts in initial diagnosis of herniated discs and we used it to create non-invasive platform for the same purposes by measuring force values from four sensors placed on both feet (first, second and fourth metatarsal head as well as the heel). Read More

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http://dx.doi.org/10.1109/JBHI.2019.2899665DOI Listing
February 2019

Design and usability assessment of a multi-device SOA-based telecare framework for the elderly.

IEEE J Biomed Health Inform 2019 Feb 18. Epub 2019 Feb 18.

Telemonitoring is a branch of telehealth that aims at remotely monitoring vital signs, which is important for chronically ill patients and the elderly living alone. The available standalone devices and applications for the self-monitoring of health parameters largely suffer from interoperability problems; meanwhile, telemonitoring medical devices are expensive, selfcontained, and are not integrated into user-friendly technological platforms for the end user. This work presents the technical aspects and usability assessment of the telemonitoring features of the HEREiAM platform, which supports heterogeneous information technology systems. Read More

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http://dx.doi.org/10.1109/JBHI.2019.2894552DOI Listing
February 2019

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-or Network.

IEEE Trans Neural Netw Learn Syst 2019 Feb 14. Epub 2019 Feb 14.

Automatic diagnosing lung cancer from computed tomography scans involves two steps: detect all suspicious lesions (pulmonary nodules) and evaluate the whole-lung/pulmonary malignancy. Currently, there are many studies about the first step, but few about the second step. Since the existence of nodule does not definitely indicate cancer, and the morphology of nodule has a complicated relationship with cancer, the diagnosis of lung cancer demands careful investigations on every suspicious nodule and integration of information of all nodules. Read More

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http://dx.doi.org/10.1109/TNNLS.2019.2892409DOI Listing
February 2019

Cluster Synchronization for Neutral Stochastic Delay Networks via Intermittent Adaptive Control.

IEEE Trans Neural Netw Learn Syst 2019 Feb 15. Epub 2019 Feb 15.

This paper studies the problem of cluster synchronization at exponential rates in both the mean square and almost sure senses for neutral stochastic coupled neural networks with time-varying delay via a periodically intermittent pinning adaptive control strategy. The network topology can be symmetric or asymmetric, with each network node being described by neutral stochastic delayed neural networks. When considering the exponential stabilization in the mean square sense for neutral stochastic delay system, the delay integral inequality approach is used to circumvent the obstacle arising from the coexistence of random disturbance, neutral item, and time-varying delay. Read More

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http://dx.doi.org/10.1109/TNNLS.2018.2890269DOI Listing
February 2019

Identification of Short Exons Disunited by a Short Intron in Eukaryotic DNA Regions.

IEEE/ACM Trans Comput Biol Bioinform 2019 Feb 18. Epub 2019 Feb 18.

Weak codon bias in short exons and separation by a short intron induces difficulty in extracting period-3 component that marks the presence of exonic regions. The annotation task of such short exons has been addressed in the proposed model independent signal processing based method with following features: (a) DNA sequences have been mapped using multiple mapping schemes, (b) period-3 spectrums corresponding to multiple mappings have been optimized to enhance short exon-short intron discrimination, and (c) spectrums corresponding to multiple mapping schemes have been subjected to Principal Component Analysis (PCA) for identifying greater number of such short exons. A comparative study with other methods indicates improved detection of contiguous short exons disunited by a short intron. Read More

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http://dx.doi.org/10.1109/TCBB.2019.2900040DOI Listing
February 2019

A Phase-Invariant Linear Torque-Angle-Velocity Relation Hidden in Human Walking Data.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 18. Epub 2019 Feb 18.

Human walking is a sequential composition of gait cycles. Each gait cycle can be divided into four motion phases separated by heel strike and toe off. A classical conjecture in the control of lower limb assistive devices, state-of-the-art prostheses and exoskeletons, is that each motion phase requires a different controller, such that an adequate control of locomotion requires at least four distinct controllers. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2899970DOI Listing
February 2019

Enhancing Mobility with Quasi-passive Variable Stiffness Exoskeletons.

IEEE Trans Neural Syst Rehabil Eng 2019 Feb 15. Epub 2019 Feb 15.

Shoes were invented to provide user comfort using rubber soles, despite marginal improvement in human mobility. Unlike shoes, current lower-limb exoskeletons use fixed stiffness springs to store and recycle energy to improve mobility. However, the maximum kinetic energy a human can accumulate when augmented with a fixed stiffness spring is limited by the maximum deflection and the ability of the limbs to generate force; tying the advantage of fixed stiffness exoskeletons to biological constraints. Read More

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http://dx.doi.org/10.1109/TNSRE.2019.2899753DOI Listing
February 2019

Not Alone Here?! Scalability and User Experience of Embodied Ambient Crowds in Distributed Social Virtual Reality.

IEEE Trans Vis Comput Graph 2019 Feb 18. Epub 2019 Feb 18.

This article investigates performance and user experience in Social Virtual Reality (SVR) targeting distributed, embodied, and immersive, face-to-face encounters. We demonstrate the close relationship between scalability, reproduction accuracy, and the resulting performance characteristics, as well as the impact of these characteristics on users co-located with larger groups of embodied virtual others. System scalability provides a variable number of co-located avatars and AI-controlled agents with a variety of different appearances, including realistic-looking virtual humans generated from photogrammetry scans. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2899250DOI Listing
February 2019

Interpersonal Affordances and Social Dynamics in Collaborative Immersive Virtual Environments: Passing Together Through Apertures.

IEEE Trans Vis Comput Graph 2019 Feb 18. Epub 2019 Feb 18.

An essential question in understanding how to develop and build collaborative immersive virtual environments (IVEs) is recognizing how people perform actions together. Many actions in the real world require that people act without prior planning, and these actions are executed quite successfully. In this paper, we study the common action of two people passing through an aperture together in both the real world (Experiment 1) and in a distributed, collaborative IVE (Experiment 2). Read More

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http://dx.doi.org/10.1109/TVCG.2019.2899232DOI Listing
February 2019

SLAMCast: Large-Scale, Real-Time 3D Reconstruction and Streaming for Immersive Multi-Client Live Telepresence.

IEEE Trans Vis Comput Graph 2019 Feb 18. Epub 2019 Feb 18.

Real-time 3D scene reconstruction from RGB-D sensor data, as well as the exploration of such data in VR/AR settings, has seen tremendous progress in recent years. The combination of both these components into telepresence systems, however, comes with significant technical challenges. All approaches proposed so far are extremely demanding on input and output devices, compute resources and transmission bandwidth, and they do not reach the level of immediacy required for applications such as remote collaboration. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2899231DOI Listing
February 2019

SGaze: A Data-Driven Eye-Head Coordination Model for Realtime Gaze Prediction.

IEEE Trans Vis Comput Graph 2019 Feb 18. Epub 2019 Feb 18.

We present a novel, data-driven eye-head coordination model that can be used for realtime gaze prediction for immersive HMD-based applications without any external hardware or eye tracker. Our model (SGaze) is computed by generating a large dataset that corresponds to different users navigating in virtual worlds with different lighting conditions. We perform statistical analysis on the recorded data and observe a linear correlation between gaze positions and head rotation angular velocities. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2899187DOI Listing
February 2019

Motion Sickness Prediction in Stereoscopic Videos using 3D Convolutional Neural Networks.

IEEE Trans Vis Comput Graph 2019 Feb 15. Epub 2019 Feb 15.

In this paper, we propose a three-dimensional (3D) convolutional neural network (CNN)-based method for predicting the degree of motion sickness induced by a 360° stereoscopic video. We consider the user's eye movement as a new feature, in addition to the motion velocity and depth features of a video used in previous work. For this purpose, we use saliency, optical flow, and disparity maps of an input video, which represent eye movement, velocity, and depth, respectively, as the input of the 3D CNN. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2899186DOI Listing
February 2019

A Perception-driven Hybrid Decomposition for Multi-layer Accommodative Displays.

IEEE Trans Vis Comput Graph 2019 Feb 18. Epub 2019 Feb 18.

Multi-focal plane and multi-layered light-field displays are promising solutions for addressing all visual cues observed in the real world. Unfortunately, these devices usually require expensive optimizations to compute a suitable decomposition of the input light field or focal stack to drive individual display layers. Although these methods provide near-correct image reconstruction, a significant computational cost prevents real-time applications. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898821DOI Listing
February 2019

Manufacturing Application-Driven Foveated Near-Eye Displays.

IEEE Trans Vis Comput Graph 2019 Feb 14. Epub 2019 Feb 14.

Traditional optical manufacturing poses a great challenge to near-eye display designers due to large lead times in the order of multiple weeks, limiting the abilities of optical designers to iterate fast and explore beyond conventional designs. We present a complete near-eye display manufacturing pipeline with a day lead time using commodity hardware. Our novel manufacturing pipeline consists of several innovations including a rapid production technique to improve surface of a 3D printed component to optical quality suitable for near-eye display application, a computational design methodology using machine learning and ray tracing to create freeform static projection screen surfaces for near-eye displays that can represent arbitrary focal surfaces, and a custom projection lens design that distributes pixels non-uniformly for a foveated near-eye display hardware design candidate. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898781DOI Listing
February 2019

Temporal Resolution Multiplexing: Exploiting the limitations of spatio-temporal vision for more efficient VR rendering.

IEEE Trans Vis Comput Graph 2019 Feb 18. Epub 2019 Feb 18.

Rendering in virtual reality (VR) requires substantial computational power to generate 90 frames per second at high resolution with good-quality antialiasing. The video data sent to a VR headset requires high bandwidth, achievable only on dedicated links. In this paper we explain how rendering requirements and transmission bandwidth can be reduced using a conceptually simple technique that integrates well with existing rendering pipelines. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898741DOI Listing
February 2019

Perceptually Based Adaptive Motion Retargeting to Animate Real Objects by Light Projection.

IEEE Trans Vis Comput Graph 2019 Feb 18. Epub 2019 Feb 18.

A recently developed light projection technique can add dynamic impressions to static real objects without changing their original visual attributes such as surface colors and textures. It produces illusory motion impressions in the projection target by projecting gray-scale motion-inducer patterns that selectively drive the motion detectors in the human visual system. Since a compelling illusory motion can be produced by an inducer pattern weaker than necessary to perfectly reproduce the shift of the original pattern on an object's surface, the technique works well under bright environmental light conditions. Read More

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http://dx.doi.org/10.1109/TVCG.2019.2898738DOI Listing
February 2019