Latency - the delay between a user's action and the response to this action - is known to be detrimental to virtual reality. Latency is typically considered to be a discrete value characterising a delay, constant in time and space - but this characterisation is incomplete. Latency changes across the display during scan-out, and how it does so is dependent on the rendering approach used. In this study, we present an ultra-low latency real-time ray-casting renderer for virtual reality, implemented on an FPGA. Our renderer has a latency of ~1 ms from 'tracker to pixel'. Its frameless nature means that the region of the display with the lowest latency immediately follows the scan-beam. This is in contrast to frame-based systems such as those using typical GPUs, for which the latency increases as scan-out proceeds. Using a series of high and low speed videos of our system in use, we confirm its latency of ~1 ms. We examine how the renderer performs when driving a traditional sequential scan-out display on a readily available HMO, the Oculus Rift OK2. We contrast this with an equivalent apparatus built using a GPU. Using captured human head motion and a set of image quality measures, we assess the ability of these systems to faithfully recreate the stimuli of an ideal virtual reality system - one with a zero latency tracker, renderer and display running at 1 kHz. Finally, we examine the results of these quality measures, and how each rendering approach is affected by velocity of movement and display persistence. We find that our system, with a lower average latency, can more faithfully draw what the ideal virtual reality system would. Further, we find that with low display persistence, the sensitivity to velocity of both systems is lowered, but that it is much lower for ours.
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http://dx.doi.org/10.1109/TVCG.2016.2518079 | DOI Listing |
J Exp Psychol Hum Percept Perform
January 2025
Department of Experimental Clinical and Health Psychology, Ghent University.
Motivational theories of imitation state that we imitate because this led to positive social consequences in the past. Because movement imitation typically only leads to these consequences when perceived by the imitated person, it should increase when the interaction partner sees the imitator. Current evidence for this hypothesis is mixed, potentially due to the low ecological validity in previous studies.
View Article and Find Full Text PDFExpert Rev Med Devices
January 2025
Italian Society of Hospital Pharmacy (SIFO), SIFO Secretariat of the Lombardy Region, Milan, Italy.
Introduction: Digital therapeutics (DTx) are an emerging phenomenon within the scientific landscape which is attracting considerable international interest. This review aimed to provide an overview of the definition and classification of DTx, focusing on the contribution that DTx may provide in the treatment of a lot of diseases, compared with pharmacological treatments and highlighting it strengthens and weaknesses into the European regulatory landscape.
Areas Covered: They are software-generated therapeutic interventions directly to patients useful to prevent, manage or treat diseases.
JMIR Aging
January 2025
Faculty of Medicine, Department of Statistics, University of Salamanca, Salamanca, Spain.
Background: Telomere length (TL) is a marker of cellular health and aging. Physical exercise has been associated with longer telomeres and, therefore, healthier aging. However, results supporting such effects vary across studies.
View Article and Find Full Text PDFFront Psychol
January 2025
Department of Physical Therapy, Niigata University of Health and Welfare, Niigata, Japan.
Alexithymia is a psychological trait characterized by difficulty expressing emotions. Previous studies reported that individuals with higher alexithymia have a decreased sense of interoception, which is the sense of monitoring and controlling internal organs. Thus, we hypothesized that internal organ activity (cardiac activities in the present study) was easily affected by false feedback in individuals with severe alexithymia.
View Article and Find Full Text PDFJ Multidiscip Healthc
January 2025
Department of Computer Engineering, Afyon Kocatepe University, Faculty of Engineering, Afyonkarahisar, Turkey.
Background: The integration of large language models (LLMs) in healthcare has generated significant interest due to their potential to improve diagnostic accuracy, personalization of treatment, and patient care efficiency.
Objective: This study aims to conduct a comprehensive bibliometric analysis to identify current research trends, main themes and future directions regarding applications in the healthcare sector.
Methods: A systematic scan of publications until 08.
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