Segmented and tagged videos and human kinematics data from synchronized sources/cameras while performing Activities of Daily Living in a home environment
Description
This dataset contains segmented videos of Activities of Daily Living (ADL) performed in a simulated functional kitchen. The data has been processed using MediaPipe and YOLOv8, and skeletal pose data is included for each video. It features 16 different subjects performing a range of daily activities, each recorded from multiple camera angles.
The ADLs included in this dataset are:
- Laundry
- Breakfast
The Just move! project included in the spanish national call for R&D projects "Generation of Knowledge 2022" ("Just Move! Early detection of MCI through the analysis of human movement in everyday life", ref: PID2022-142388OA-I00) funded by MCIN/AEI/10.13039/501100011033 and "European Union NextGenerationEU/PRTR".
Files
Dataset.zip
Files
(14.8 GB)
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md5:7110d0b55ee317c7491a087b3d546530
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Additional details
Software
- Repository URL
- https://mamilab.eu/datasets/