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2 results for “Multi-modal sensing”
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>
Advanced Multi-Modal Wearable Sensing for the Prediction of Pre-Term Labor
ClinicalTrials.gov study NCT04362579. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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Allen Brain Atlas
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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.