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4 results for “indoor tracking”
Kinematically collected reference fingerprint map (RFM) with the high precision tracking system for feature-based indoor positioning
<p>The offline referencing phase, one of the core phases of the fingerprinting-based indoor positioning system (FIPS), is the key stage for deploying the positioning system. The reference fingerprint map (RFM) is acquired for representing the relationship between location-relevant features and the corresponding locations and used for inferring the user’s location at the online stage. The kinematically collecting the RFM using the mobile device with the help of high precision tracking system is contributed to the community for benchmarking comparison of the indoor positioning performance. The detailed description of the data is cooming soon.<br> </p>
Validation of an indoor real-time location system for tracking sheep
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RAV4D: A Radar-Audio-Visual Dataset for Indoor Multi-Person Tracking
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Indoor Skeleton Tracking Dataset
<p>Description</p> <p>This database contains skeleton tracking information obtained by the Asus Xtion pro live sensor in combination with OpenNI. It contains 3 different indoor environments: 90 days of tracking data from a living room, 74 days of tracking data within a kitchen as well as 20 days of tracking data within an office environment. The dataset has been used for evaluation in [1].</p> <p>Use</p> <p>The dataset is freely available for non-commercial research use. Please also cite our paper [1] when using the dataset for your research.</p> <p>Technical Details</p> <p>The dataset contains 3 folders, one for each scenario. The tracking information is provided within csv files (e.g. 1.csv), where one day of tracking information is saved per CSV file. Corresponding ground plane estimation results are provided in textfiles (e.g. 1_groundPlane.txt), containing the estimated ground plane parameters a, b, c and d for the 1st day. The csv files include the following information:</p> <p><em>FrameNr, Timestamp, FPS (can be ignored)</em></p> <p>Moreover, tracking information (x, y, z, confidence) provided by OpenNI of the following skeleton joints is available:</p> <p><em>Center of mass, left and right hip, spine, shoulder center, head, left and right knee, left and right foot, left and right shoulder, left and right elbow, left and right hand</em></p> <p>References</p> <p>[1] Planinc R., Kampel M. “Human Centered Scene Understanding based on 3D Long-Term Tracking Data”, <em>Proceedings of the Iberian Conference on Pattern Recognition and Image Analysis (IbPria)</em>, to appear, Santiago de Compostela, Spain, June 2015.</p>
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.