We report three experiments investigating the hypothesis that use of internal visual imagery (IVI) would be superior to external visual imagery (EVI) for the performance of different slalom-based motor tasks. In Experiment 1, three groups of participants (IVI, EVI, and a control group) performed a driving-simulation slalom task. The IVI group achieved significantly quicker lap times than EVI and the control group. In Experiment 2, participants performed a downhill running slalom task under both IVI and EVI conditions. Performance was again quickest in the IVI compared to EVI condition, with no differences in accuracy. Experiment 3 used the same group design as Experiment 1, but with participants performing a downhill ski-slalom task. Results revealed the IVI group to be significantly more accurate than the control group, with no significant differences in time taken to complete the task. These results support the beneficial effects of IVI for slalom-based tasks, and significantly advances our knowledge related to the differential effects of visual imagery perspectives on motor performance.
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http://dx.doi.org/10.3389/fnhum.2013.00697 | DOI Listing |
Sci Rep
January 2025
Computer Vision Center, Universitat Autònoma de Barcelona, Barcelona, 08193, Spain.
In this study, we explore an enhancement to the U-Net architecture by integrating SK-ResNeXt as the encoder for Land Cover Classification (LCC) tasks using Multispectral Imaging (MSI). SK-ResNeXt introduces cardinality and adaptive kernel sizes, allowing U-Net to better capture multi-scale features and adjust more effectively to variations in spatial resolution, thereby enhancing the model's ability to segment complex land cover types. We evaluate this approach using the Five-Billion-Pixels dataset, composed of 150 large-scale RGB-NIR images and over 5 billion labeled pixels across 24 categories.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Technische Hochschule Nürnberg Georg Simon Ohm, Institute of Hydraulic Engineering and Water Resources Management, Nuremberg, Germany.
Through the mobilization of movable objects due to the extreme hydraulic conditions during a flood event, blockages, damage to infrastructure, and endangerment of human lives can occur. To identify potential hazards from aerial imagery and take appropriate precautions, a change detection tool (CDT) was developed and tested using a study area along the Aisch River in Germany. The focus of the CDT development was on near real-time analysis of point cloud data generated by structure from motion from aerial images of temporally separated surveys, enabling rapid and targeted implementation of measures.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Sapienza University of Rome, Rome, Rome, Italy.
Background: Visual Mental Imagery (VMI) is the ability to represent stimuli in the mind without sensory visual input. Previous studies have shown alterations in visual imagery in Alzheimer's disease (AD). However, VMI has not been investigated in the AD prodromal stage, i.
View Article and Find Full Text PDFNeurol Educ
December 2024
From the Department of Neurology (T.G., P.A.), Boston Medical Center, MA; Georgia Museum of Art (D.O.), Athens; Harvard Art Museums (C.M.), Cambridge, MA; and Department of Neurology (S.B.), Virginia Commonwealth University, Richmond.
Background And Objectives: Multiple studies have shown that visual arts training has improved observational and communication skills and empathy among medical students and resident physicians. The benefits of such training for neurology residents remain scarce. This project aims to introduce neurology residents to the world of visual arts, improve their observational skills, foster their empathic skills, and provide them with a unique space for self-expression.
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