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272 results for “XR”
XR training and gameplay 6DoF mobility dataset
<p>User mobility in extended reality (XR) can have a major impact on millimeter-wave (mmWave) links and may require dedicated mitigation strategies to ensure reliable connections and avoid service outages. The available prior art has predominantly focused on XR applications with constrained user mobility and limited impact on mmWave channels.</p> <p>We have performed dedicated experiments to extend the characterisation of relevant future XR use cases featuring a high degree of user mobility. To this end, we have carried out a tailor-made XR mobility measurement campaign, capturing the movement of the head, hands, and body in 6DoF. </p> <p>For a usage example, see the provided Jupyter Notebook in cacerumd-usage-example.zip.</p> <p>A description of the measurement campaign and a characterisation of the recorded mobility can be found in the corresponding <a href="https://ieeexplore.ieee.org/abstract/document/10634047">IEEE Magazine paper</a> or a longer version, with more details about the experiment, on <a href="https://arxiv.org/abs/2407.02636">Arxiv</a>.</p>
HMDiR: an HRTF dataset measured on a mannequin wearing XR devices
<p>The HMDiR dataset (Head-Mounted-Display acoustic Impulse Responses) comprehends HRIR measurements for 1200 locations collected over a Neumann KU-100 mannequin fitted with a variety of HMDs used for virtual, augmented, or mixed reality. The database can be used to run subjective and objective studies on the impact of wearing headgear on spatial audio perception and source localization. Data is provided in <em>.mat</em> format, readable in MATLAB.</p> <p>Source locations measured comprehend 200 azimuth angles from 0º to 358.2º in steps of 1.8º and six elevation rings from -36º to +54º in steps of 18º. Distance is 1 meter. The data was measured in November 2017 using ScanIR v2.</p> <p>The headsets measured were the following:</p> <ul> <li>Microsoft Hololens (2016 version)</li> <li>Metavision Meta-2</li> <li>HTC Vive</li> <li>Samsung GearVR SM-R322 </li> <li>Oculus Rift CV1</li> </ul> <p>The data is available as <em>.mat </em>files prepared in two different formats:</p> <ul> <li><strong>MARL format:</strong> complete individual-entry-based structure, includes metadata information for elevation, azimuth, distance, headset type, location, measurement signal and sample rate</li> <li><strong>Compact format:</strong> simplified matrix for only HRIR data packed as a 6x200 matrix. Rows spanning elevations from -36º to +54º from top-to-bottom. Columns spanning azimuth positions from 0º to 358.2º (clockwise) left-to-right.</li> </ul> <p>If you make use of this dataset for academic purposes, please cite the following white paper:</p> <p><em>Andrea Genovese, and Agnieskza Roginska, HMDiR: an HRTF dataset measured on a mannequin wearing XR devices, Audio Engineering Society Conference: 2019 AES International Conference on Immersive and Interactive Audio. Audio Engineering Society. </em></p>
SUN XR haptic interaction dataset
<p>Dataset related to perception experiments for wearable haptic devices worn at the upper limb. It contains hand trajectories, provided fedback signals, and reference signals to follow in a trajectory-tracking task performed in different feedback condition (visual and haptic). Experimental detail of the setup (including kind of tactile feedback and proposed motor task) are in the scientific paper "A Direct-drive, Wearable Armband Device to Experiment Combined Continuous and Vibrotactile Haptic Feedback for Guidance in Motor Tasks" accepted for publication in Eurohaptics 2024 conference</p>
Multi-modal pose estimation in XR applications leveraging integrated sensing and communication: Dataset
<p>This dataset refers to paper Multi-modal pose estimation in XR applications leveraging integrated sensing and communication in workshop of ACM Mobicom. CSI of 3 people performing a set of 8 poses. This dataset contain discrete classes and corresponding CSI data. Kinect poses can be found here (https://github.com/nisarnabeel/multi-modal-pose-estimation-CSI-mmWave).</p> <p> </p> <p>Abstract: Mobile extended reality (XR) applications are anticipated to generate substantial traffic for 6G. Such applications not only require high data rate and low-latency transmissions, but also accurate and real-time pose estimation to enable interactive and immersive experiences. While sub-6 GHz signals have been exploited for pose estimation, they cannot cope up with multi-gigabit data rates required by XR applications. Instead, mobile communications at mmWave frequencies can potentially support data rates up to several giga-bits per second (Gbps) and, therefore, can be used to deliver XR content wirelessly to the Head-Mounted Display (HMD). Moreover, mmWave frequencies can offer improved sensing due to the large available bandwidth. Therefore, mmWave communications can play a crucial role in enabling device-free interactivity by offering both high-speed communication and accurate sensing capabilities. However, mmWave propagation characteristics are different from sub-6 GHz. Path loss plays a significant role, and can lead to degraded sensing performance. Therefore, our proposal supplements wireless sensing at mmWave frequencies with wireless electromyography (EMG) armbands. By capturing patterns of muscle activities, we can counteract the limitations of mmWave-based pose estimation, thereby enriching the granularity and precision of pose estimation. This paper proposes a conceptual architecture to achieve multi-modal pose estimation for XR applications. Early results highlight the shortcomings of mmWave-based sensing, and we identify future steps and opportunities on integration of both approaches.</p>
THEIA-XR: the project
<p>Introducing you the THEIA-XR project - all to make the invisible visible for operators of off-highway heavy duty machines.</p>
MLSys 2023 - XR Bench Paper Data
<p>Data used for drawing plots in the MLSys 2023 paper, "XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse."</p>
Open-Label Extension Study Of Rosiglitazone XR As Adjunctive Therapy In Subjects With Mild-to-Moderate Alzheimers
ClinicalTrials.gov study NCT00490568. IPD Sharing: Not stated. Countries: 29. Publications: 1.
Study to Evaluate the Effect and Safety of Quetiapine Extended Release (XR) (FK949E) in Major Depressive Disorder
ClinicalTrials.gov study NCT01725282. IPD Sharing: YES. Countries: 1. Publications: 1.
Envarsus XR in Lung Transplant
ClinicalTrials.gov study NCT04420195. IPD Sharing: NO. Countries: 1. Publications: 1.
Comparison of Tacrolimus Extended-Release (Envarsus XR) to Tacrolimus Immediate-Release in Human Leukocyte Antigen (HLA) Sensitized Kidney Transplant Recipients
ClinicalTrials.gov study NCT04225988. IPD Sharing: NO. Countries: 1. Publications: 9.
Dyanavel® XR Extended-Release Oral Suspension in the Treatment of Children With ADHD: A Laboratory School Study
ClinicalTrials.gov study NCT03088267. IPD Sharing: NO. Countries: 1. Publications: 1.
VERxVE Study on Efficacy and Safety of Nevirapine XR in Comparison to Nevirapine IR With Truvada in Naive HIV+ Patients
ClinicalTrials.gov study NCT00561925. IPD Sharing: Not stated. Countries: 21. Publications: 1.
Study of Adderall-XR for the Treatment of Adult Attention Deficit Hyperactivity Disorder and Cocaine Dependence
ClinicalTrials.gov study NCT00553319. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Envarsus XR Compared to Immediate Release Tacrolimus
ClinicalTrials.gov study NCT03979365. IPD Sharing: NO. Countries: 1. Publications: 1.
Ciprofloxacin XR Drug Interaction Study With MMX® Mesalazine/Mesalamine
ClinicalTrials.gov study NCT01402947. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study Of Rosiglitazone XR In Subjects With Mild-to-Moderate Alzheimers
ClinicalTrials.gov study NCT00550420. IPD Sharing: YES. Countries: 18. Publications: 1.
Study of Dapagliflozin in Combination With Metformin XR to Initiate the Treatment of Type 2 Diabetes
ClinicalTrials.gov study NCT00859898. IPD Sharing: Not stated. Countries: 6. Publications: 1.
Conversion to Monotherapy Study With Keppra XR for Partial Seizures
ClinicalTrials.gov study NCT00419094. IPD Sharing: Not stated. Countries: 4. Publications: 1.
Effectiveness of Long-Term Versus Short-Term Treatment of Generalized Anxiety Disorder With Venlafaxine XR
ClinicalTrials.gov study NCT00183274. IPD Sharing: NO. Countries: 1. Publications: 10.
Seroquel Extended Release (XR) for the Management of Borderline Personality Disorder (BPD)
ClinicalTrials.gov study NCT00880919. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.