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visual feedback

Hilary M Clayton
In spite of having large height and body mass, horses are cursorial animals with an extensive gait repertoire and considerable athletic abilities. The limbs have evolved so that the heavy musculature is confined to the proximal limbs while the distal limbs are light in weight with a single functional digit and long, lightweight tendons to move and support the distal joints. These adaptations reduce the moment of inertia and decrease the energy expended to protract and retract the limbs during locomotion. There is a division of labor between the forelimbs, which have a pillar-like construction specialized for weight bearing, and the hind limbs, in which the more angulated joints provide leverage for the generation of propulsion...
October 2016: Journal of Animal Science
Laura Cercenelli, Guido Tiberi, Ivan Corazza, Giuseppe Giannaccare, Michela Fresina, Emanuela Marcelli
PURPOSE: Many open source software packages have been recently developed to expand the usability of eye tracking systems to study oculomotor behavior, but none of these is specifically designed to encompass all the main functions required for creating eye tracking tests and for providing the automatic analysis of saccadic eye movements. The aim of this study is to introduce SacLab, an intuitive, freely-available MATLAB toolbox based on Graphical User Interfaces (GUIs) that we have developed to increase the usability of the ViewPoint EyeTracker (Arrington Research, Scottsdale, AZ, USA) in clinical ophthalmology practice...
November 22, 2016: Computers in Biology and Medicine
Antonio G Losada, Roberto Theron, Alejandro Benito
The amount of data available in the sports field is difficult for coaches, analysts, and players to comprehend using classic analytics methods. Thus, new methods are necessary to help users break down that information and analyze it at a deeper level. The BKViz visual analytics system focuses on individual basketball games using classic and novel methods to reveal how players perform together and as individuals. The information is presented in interactive visualizations that allow immediate user feedback.
November 2016: IEEE Computer Graphics and Applications
Tara McAllister Byun, Heather Campbell
Recent evidence suggests that the incorporation of visual biofeedback technologies may enhance response to treatment in individuals with residual speech errors. However, there is a need for controlled research systematically comparing biofeedback versus non-biofeedback intervention approaches. This study implemented a single-subject experimental design with a crossover component to investigate the relative efficacy of visual-acoustic biofeedback and traditional articulatory treatment for residual rhotic errors...
2016: Frontiers in Human Neuroscience
Chao-Yang Yang, Cheng-Tse Wu
This research investigated the risks involved in bicycle riding while using various sensory modalities to deliver training information. To understand the risks associated with using bike computers, this study evaluated hazard perception performance through lab-based simulations of authentic riding conditions. Analysing hazard sensitivity (d') of signal detection theory, the rider's response time, and eye glances provided insights into the risks of using bike computers. In this study, 30 participants were tested with eight hazard perception tasks while they maintained a cadence of 60 ± 5 RPM and used bike computers with different sensory displays, namely visual, auditory, and tactile feedback signals...
March 2017: Applied Ergonomics
Simon Christoph Stein, Jan Thiart
Super-resolution localization microscopy and single particle tracking are important tools for fluorescence microscopy. Both rely on detecting, and tracking, a large number of fluorescent markers using increasingly sophisticated computer algorithms. However, this rise in complexity makes it difficult to fine-tune parameters and detect inconsistencies, improve existing routines, or develop new approaches founded on established principles. We present an open-source MATLAB framework for single molecule localization, tracking and super-resolution applications...
November 25, 2016: Scientific Reports
Lars Gabrys, Stefan Sperzel, Marcus Bernhoerster, Winfried Banzer, Lutz Vogt
The study aims to evaluate the effects and feasibility of a biofeedback device for physical activity (PA) improvement in breast and colon cancer patients. Daily PA of 19 cancer patients was measured by accelerometry (ActiGraph, GT1 M). Additionally, patients wore a motion sensor with real-time visual activity feedback (ActiSmile). Counts per minutes (cpm) and moderate to vigorous physical activity (MVPA) were calculated and patients' activity data were compared to PA of 20 age-matched healthy controls. Baseline PA of patients was lower compared to controls...
November 24, 2016: Research in Sports Medicine
David T Kell, Beau Kjerulf Greer
Experienced cyclists typically pedal with a 5-20% bilateral asymmetry in regards to power output. The aim of this study was to determine if visual feedback via the Wattbike cycle ergometer is an effective tool in reducing bilateral pedaling asymmetry in trained cyclists. Twelve subjects completed three 10-minute cycling trials on the Wattbike at a power output consistent with 60% VO2 peak. The three trials consisted of a baseline (BASE) trial in which cyclists pedaled without instruction, a conscious control (CC) trial during which cyclists attempted to pedal symmetrically, and another trial in which cyclists attempted to pedal symmetrically while utilizing visual feedback (VF) of their bilateral power outputs (%) via the Wattbike...
May 19, 2016: Journal of Strength and Conditioning Research
Lonni Besancon, Paul Issartel, Mehdi Ammi, Tobias Isenberg
We present the design and evaluation of an interface that combines tactile and tangible paradigms for 3D visualization. While studies have demonstrated that both tactile and tangible input can be efficient for a subset of 3D manipulation tasks, we reflect here on the possibility to combine the two complementary input types. Based on a field study and follow-up interviews, we present a conceptual framework of the use of these different interaction modalities for visualization both separately and combined-focusing on free exploration as well as precise control...
January 2017: IEEE Transactions on Visualization and Computer Graphics
Ayan Biswas, Guang Lin, Xiaotong Liu, Han-Wei Shen
Uncertainty quantification in climate ensembles is an important topic for the domain scientists, especially for decision making in the real-world scenarios. With powerful computers, simulations now produce time-varying and multi-resolution ensemble data sets. It is of extreme importance to understand the model sensitivity given the input parameters such that more computation power can be allocated to the parameters with higher influence on the output. Also, when ensemble data is produced at different resolutions, understanding the accuracy of different resolutions helps the total time required to produce a desired quality solution with improved storage and computation cost...
January 2017: IEEE Transactions on Visualization and Computer Graphics
Soumya Dutta, Chun-Ming Chen, Gregory Heinlein, Han-Wei Shen, Jen-Ping Chen
Study of flow instability in turbine engine compressors is crucial to understand the inception and evolution of engine stall. Aerodynamics experts have been working on detecting the early signs of stall in order to devise novel stall suppression technologies. A state-of-the-art Navier-Stokes based, time-accurate computational fluid dynamics simulator, TURBO, has been developed in NASA to enhance the understanding of flow phenomena undergoing rotating stall. Despite the proven high modeling accuracy of TURBO, the excessive simulation data prohibits post-hoc analysis in both storage and I/O time...
January 2017: IEEE Transactions on Visualization and Computer Graphics
Clemens Arbesser, Florian Spechtenhauser, Thomas Muhlbacher, Harald Piringer
Trends like decentralized energy production lead to an exploding number of time series from sensors and other sources that need to be assessed regarding their data quality (DQ). While the identification of DQ problems for such routinely collected data is typically based on existing automated plausibility checks, an efficient inspection and validation of check results for hundreds or thousands of time series is challenging. The main contribution of this paper is the validated design of Visplause, a system to support an efficient inspection of DQ problems for many time series...
January 2017: IEEE Transactions on Visualization and Computer Graphics
Stephan Pajer, Marc Streit, Thomas Torsney-Weir, Florian Spechtenhauser, Torsten Muller, Harald Piringer
A common strategy in Multi-Criteria Decision Making (MCDM) is to rank alternative solutions by weighted summary scores. Weights, however, are often abstract to the decision maker and can only be set by vague intuition. While previous work supports a point-wise exploration of weight spaces, we argue that MCDM can benefit from a regional and global visual analysis of weight spaces. Our main contribution is WeightLifter, a novel interactive visualization technique for weight-based MCDM that facilitates the exploration of weight spaces with up to ten criteria...
January 2017: IEEE Transactions on Visualization and Computer Graphics
Zhicheng Liu, Yang Wang, Mira Dontcheva, Matthew Hoffman, Seth Walker, Alan Wilson
Modern web clickstream data consists of long, high-dimensional sequences of multivariate events, making it difficult to analyze. Following the overarching principle that the visual interface should provide information about the dataset at multiple levels of granularity and allow users to easily navigate across these levels, we identify four levels of granularity in clickstream analysis: patterns, segments, sequences and events. We present an analytic pipeline consisting of three stages: pattern mining, pattern pruning and coordinated exploration between patterns and sequences...
January 2017: IEEE Transactions on Visualization and Computer Graphics
Kuno Kurzhals, Marcel Hlawatsch, Christof Seeger, Daniel Weiskopf
The analysis of eye tracking data often requires the annotation of areas of interest (AOIs) to derive semantic interpretations of human viewing behavior during experiments. This annotation is typically the most time-consuming step of the analysis process. Especially for data from wearable eye tracking glasses, every independently recorded video has to be annotated individually and corresponding AOIs between videos have to be identified. We provide a novel visual analytics approach to ease this annotation process by image-based, automatic clustering of eye tracking data integrated in an interactive labeling and analysis system...
January 2017: IEEE Transactions on Visualization and Computer Graphics
Paulo E Rauber, Samuel G Fadel, Alexandre X Falcao, Alexandru C Telea
In machine learning, pattern classification assigns high-dimensional vectors (observations) to classes based on generalization from examples. Artificial neural networks currently achieve state-of-the-art results in this task. Although such networks are typically used as black-boxes, they are also widely believed to learn (high-dimensional) higher-level representations of the original observations. In this paper, we propose using dimensionality reduction for two tasks: visualizing the relationships between learned representations of observations, and visualizing the relationships between artificial neurons...
January 2017: IEEE Transactions on Visualization and Computer Graphics
Xilin Zhang, Shruti Japee, Zaid Safiullah, Nicole Mlynaryk, Leslie G Ungerleider
The normalization model of attention proposes that attention can affect performance by response- or contrast-gain changes, depending on the size of the stimulus and attention field. Here, we manipulated the attention field by emotional valence, negative faces versus positive faces, while holding stimulus size constant in a spatial cueing task. We observed changes in the cueing effect consonant with changes in response gain for negative faces and contrast gain for positive faces. Neuroimaging experiments confirmed that subjects' attention fields were narrowed for negative faces and broadened for positive faces...
November 2016: PLoS Biology
Niclas Braun, Reiner Emkes, Jeremy D Thorne, Stefan Debener
Neurofeedback-guided motor imagery training (NF-MIT) has been suggested as a promising therapy for stroke-induced motor impairment. Whereas much NF-MIT research has aimed at signal processing optimization, the type of sensory feedback given to the participant has received less attention. Often the feedback signal is highly abstract and not inherently coupled to the mental act performed. In this study, we asked whether an embodied feedback signal is more efficient for neurofeedback operation than a non-embodiable feedback signal...
November 21, 2016: Scientific Reports
Ana Alves-Pinto, Varvara Turova, Tobias Blumenstein, Renée Lampe
Recent imaging studies in cerebral palsy (CP) have described several brain structural changes, functional alterations, and neuroplastic processes that take place after brain injury during early development. These changes affect motor pathways as well as sensorimotor networks. Several of these changes correlate with behavioral measures of motor and sensory disability. It is now widely acknowledged that management of sensory deficits is relevant for rehabilitation in CP. Playing a musical instrument demands the coordination of hand movements with integrated auditory, visual, and tactile feedback, in a process that recruits multiple brain regions...
2016: Neural Plasticity
Maria E Currie, Ali Talasaz, Reiza Rayman, Michael W A Chu, Bob Kiaii, Terry Peters, Ana Luisa Trejos, Rajni Patel
BACKGROUND: The objective of this work was to determine the effect of both direct force feedback and visual force feedback on the amount of force applied to mitral valve tissue during ex vivo robotics-assisted mitral valve annuloplasty. METHODS: A force feedback-enabled master-slave surgical system was developed to provide both visual and direct force feedback during robotics-assisted cardiac surgery. This system measured the amount of force applied by novice and expert surgeons to cardiac tissue during ex vivo mitral valve annuloplasty repair...
November 16, 2016: International Journal of Medical Robotics + Computer Assisted Surgery: MRCAS
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