Pose-estimated 3D data of infant spontaneous activity from Helsinki and Pisa

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dc.contributor.affiliationUniversity of Helsinki - Holmberg, Daniel
dc.contributor.affiliationFondazione Stella Maris - Guzzetta, Andrea
dc.contributor.affiliationHelsinki University Hospital - Kivi, Anna
dc.contributor.affiliationHelsinki University Hospital - Haataja, Leena
dc.contributor.affiliationUniversity of Helsinki - Vanhatalo, Sampsa
dc.contributor.affiliationUniversity of Helsinki - Roos, Teemu
dc.contributor.authorHolmberg, Daniel
dc.contributor.authorAiraksinen, Manu
dc.contributor.authorMarchi, Viviana
dc.contributor.authorGuzzetta, Andrea
dc.contributor.authorKivi, Anna
dc.contributor.authorHaataja, Leena
dc.contributor.authorVanhatalo, Sampsa
dc.contributor.authorRoos, Teemu
dc.date.accessioned2025-03-24T15:15:29Z
dc.date.issued2024-12-03
dc.date.issued2024-12-03
dc.descriptionThis dataset contains pose-estimated 3D (and 2D proxy) data as well as trained models for generating infant Kinetic Age, collected from research trials in Helsinki and Pisa. The dataset is organized into separate archives for metadata, data streams, trained models, and predictions. Below is a detailed breakdown of the dataset contents: Metadata metadata/combined.csv  - test_id: Unique identifier for each infant.  - corrected_age: Corrected age of the infant in days.  - outcome: Neurodevelopmental outcome labels (0 typical, 1 weak impairment, 2 MNI). Data data/features.csv  - Handcrafted movement features computed for each, by experts annotated, useful video segment. data/streams/combined/*.feather  - 3D recording segment, with 18 J, B, V, A streams over 600 time steps. data/streams_2d/combined/*.feather   - 2D recording segment, with 18 J, B, V, A streams over 600 time steps. Results results/model/fold_n/...  - train_predictions.npy: Predictions made on the training set.  - val_predictions.npy: Predictions made on the validation set.  - best_model.ckpt: Checkpoint file containing the saved model weights.  - metadata.json: Metadata describing the fold, including training parameters and validation segments.  - scatter_*.png: Regression results. Predictions predictions/jb-aagcn-coord-xy_predictions.csv  - Model predictions for the 2D model on MNI samples. predictions/jb-aagcn-coord_predictions.csv  - Model predictions for the 3D model on MNI samples.
dc.identifierhttps://doi.org/10.5281/zenodo.14269867
dc.identifier.urihttps://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/9755
dc.rightsRequest access
dc.rights.licensecc-by-4.0
dc.titlePose-estimated 3D data of infant spontaneous activity from Helsinki and Pisa
dc.typedataset
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