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14 results for “head mounted display”
Experimental data for the study: "Naturalistic visualization of reaching movements using head-mounted displays improves movement quality and proves high usability compared to conventional computer screens"
<p>The datasets contains the motor performance metrics and the questionnaire responses for two experiments involving a motor task with a VR controller (experiment 1, healthy old participants) or a rehabilitation assistive device (experiment 2, brain-injured patients) and three visualization technologies: an immersive virtual reality (IVR) head-mounted display (HMD), an augmented reality (AR) HMD, and a computer screen (2D screen). The study was performed in the Motor Learning and Neurorehabilitation Laboratory at the University of Bern. All data are stored in “csv” files. The variables inside the files are explained in “DataFrameDescription.rtf”. For questions, please contact L.MarchalCrespo@tudelft.nl.</p>
A Systematic Review on the Visualization of Avatars and Agents in AR & VR displayed using Head-Mounted Displays
<p>This repository contains the data for the article "Systematic Review on the Visualization of Avatars and Agents in<br> AR & VR displayed using Head-Mounted Displays" including a BibTex file and supporting figures.</p>
UBC2019 - A dataset of subjective image quality of head-mounted displays
<p>This is the dataset described in the following publication:</p> <p>"A subjective method for evaluating foveated image quality in HMDs", V. Thirumalai, J. Ribera, J. Xiang, J. Zhang, M. Azimi, J. Kamali, P. Nasiopoulos, <em>Society of Information Display, Display Week</em> - May 2020, San Francisco, CA</p>
Is Social Training Delivered with a Head-Mounted Display Suitable for Patients with Hereditary Ataxia?
<p>This dataset is related to 10 patients with different types of hereditary ataxia who performed a single VR-SPIRIT training session using the Oculus Quest, a Head Mounted Display. The VR- Social Prediction Improvement and Rehabilitation Intensive Training (VR-SPIRIT) is a rehabilitative intervention in virtual reality (VR) targeting social prediction to improve the use of contextual priors during prediction of others’ intentions in cerebellar patients. The aim here was to verify its usability and tolerability in patients with hereditary ataxia. To do this, after the session, patients answered a series of questionnaires to investigate the overall usability of the system and its potential effects in terms of cyber-sickness.</p> <p>The dataset includes a sheet related to demographic data, a sheet related to performance during the single session and one sheet for each questionnaire as follows:</p> <p>- System Usability Scale (SUS)</p> <p>- Suitability Evaluation Questionnaire (SEQ)</p> <p>- Simulator Sickness Questionnaire (SSQ)</p> <p>- Independent Television Commission-Sense of Presence Inventory (ITC-SOPI)</p> <p>- short-form of Positive Affect and Negative Affect Scales (PANAS).</p> <p>The details about data collection and all procedures are reported in the following manuscript, that we kindly ask you to cite if you use this dataset:</p> <p>Malerba, G.; Bellazzecca, S.; Urgesi, C.; Butti, N.; D’Angelo, M.G.; Diella, E.; Biffi, E. Is Social Training Delivered with a Head-Mounted Display Suitable for Patients with Hereditary Ataxia? Brain Sci. 2023, 13, 1017. https://doi.org/10.3390/ brainsci13071017</p>
The first comprehensive revision of all the species attributed to Melomys led J. I. Menzies in 1996 to resurrect the genus Paramelomys and to redefine its morphologicallimits and species content. Menzies created P. gressitti as a new species belonging to a group displaying morphological similarities and including also P. lorentzii and P. moncktoni. Monotypic Distribution. E New Guinea. Descriptive notes. Head-body 135-162 mm, hindfoot 30-34 mm; no specific data are available for body weight. Gressitt's Mosaic-tailed Rat is a medium-sized Paramelomys with a soft, thick and woolly pelage, a long narrow foot, and a tail with three hairs per scale. It exhibits a medium-sepia dorsal pelage and a gray-buff ventral one. Tail is slightly shorter (99%) than head-body length. The skull has a narrow zygomatic plate. Habitat. Moist tropical mountain forest between 2300 m and 2400 m. Food and Feeding. No information. Breeding. No information. Activity patterns. Gressitt's Mosaic-tailed Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List owing to its small geographic range (less than 3500 km?*) and the destruction ofits habitat by mining and logging activities. The major threat to Gressitt's Mosaic-tailed Rat is ongoing habitat degradation caused by nearby human populations; habitat on Mount Kandy has been destroyed by gold-miners and wood-cutters. Bibliography. Menzies (1996). in Muridae
The first comprehensive revision of all the species attributed to Melomys led J. I. Menzies in 1996 to resurrect the genus Paramelomys and to redefine its morphologicallimits and species content. Menzies created P. gressitti as a new species belonging to a group displaying morphological similarities and including also P. lorentzii and P. moncktoni. Monotypic Distribution. E New Guinea. Descriptive notes. Head-body 135-162 mm, hindfoot 30-34 mm; no specific data are available for body weight. Gressitt's Mosaic-tailed Rat is a medium-sized Paramelomys with a soft, thick and woolly pelage, a long narrow foot, and a tail with three hairs per scale. It exhibits a medium-sepia dorsal pelage and a gray-buff ventral one. Tail is slightly shorter (99%) than head-body length. The skull has a narrow zygomatic plate. Habitat. Moist tropical mountain forest between 2300 m and 2400 m. Food and Feeding. No information. Breeding. No information. Activity patterns. Gressitt's Mosaic-tailed Rat is terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List owing to its small geographic range (less than 3500 km?*) and the destruction ofits habitat by mining and logging activities. The major threat to Gressitt's Mosaic-tailed Rat is ongoing habitat degradation caused by nearby human populations; habitat on Mount Kandy has been destroyed by gold-miners and wood-cutters. Bibliography. Menzies (1996).
Head Mount Display-based Virtual Reality Rehabilitation of Hemispatial Neglect
ClinicalTrials.gov study NCT03463122. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Measuring and Comparing QoE and Simulator Sickness of Omnidirectional Videos in Different Head Mounted Displays
<p>This folder contains the description of our dataset with the links and subjects response. </p>
Passive Head-Mounted Display Music-Listening EEG dataset
<p><strong>Summary:</strong></p> <p>This dataset contains electroencephalographic recordings of 12 subjects listening to music with and without a passive head-mounted display, that is, a head-mounted display which does not include any electronics at the exception of a smartphone. The electroencephalographic headset consisted of 16 electrodes. A full description of the experiment is available at <a href="https://hal.archives-ouvertes.fr/hal-02085118">https://hal.archives-ouvertes.fr/hal-02085118</a>. Data were recorded during a pilot experiment taking place in the GIPSA-lab, Grenoble, France, in 2017 (Cattan and al, 2018). Python code for manipulating the data is downloadable at <a href="https://github.com/plcrodrigues/py.PHMDML.EEG.2017-GIPSA">https://github.com/plcrodrigues/py.PHMDML.EEG.2017-GIPSA</a>. The ID of this dataset is <em>PHMDML.EEG.2017-GIPSA.</em></p> <p> </p> <p><strong>Full description of the experiment and dataset: </strong><a href="https://hal.archives-ouvertes.fr/hal-02085118">https://hal.archives-ouvertes.fr/hal-02085118</a></p> <p> </p> <p><strong><em>Principal Investigator</em>:</strong> Eng. Grégoire Cattan</p> <p> </p> <p><strong><em>Technical Supervisors</em>:</strong> Eng. Pedro L. C. Rodrigues</p> <p> </p> <p><strong><em>Scientific Supervisor:</em></strong> Dr. Marco Congedo</p> <p> </p> <p><strong>ID of the dataset: </strong><em>PHMDML.EEG.2017-GIPSA</em></p>
Optical Head-Mounted Display Technology for Low Vision Rehabilitation
ClinicalTrials.gov study NCT02983305. IPD Sharing: NO. Countries: 1. Publications: 0.
Feasibility of Virtual Reality Games Using Head-mounted Display on Patients With Brain Disorders
ClinicalTrials.gov study NCT03196739. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Development and Validation of a Novel Stereoacuity Test Using Head-mounted Display
ClinicalTrials.gov study NCT03234504. IPD Sharing: NO. Countries: 1. Publications: 0.
Head-mounted Display for Central Venous Catheterization
ClinicalTrials.gov study NCT06469034. IPD Sharing: YES. Countries: 1. Publications: 0.
Comparison of Virtual Reality and Mixed Reality Head-Mounted Displays for Dental Anxiety Control During Local Anesthesia in Children
ClinicalTrials.gov study NCT07398105. IPD Sharing: NO. Countries: 1. Publications: 0.
Ergonomics of Head Movement in XR: Characterising Neck Muscle Activity During Interaction with Head-mounted Displays
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.