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COGNITO: Activity monitoring and recovery
Citation
Behera, Ardhendu and Hogg, David C. and Cohn, Anthony G. (2015) COGNITO: Activity monitoring and recovery. University of Leeds. [Dataset] https://doi.org/10.5518/11
Dataset description
In order to test our hierarchical framework, we have obtained two datasets using an egocentric setup. These datasets consist of non-periodic manipulative tasks in an industrial context. All the sequences were captured with on-body sensors consisting IMUs, a backpack-mounted RGB-D camera for top-view and a chestmounted fisheye camera for front-view of the workbench. The first dataset is the scenario of hammering nails and driving screws. In this dataset, subjects are asked to hammer 3 nails and drive 3 screws using prescribed tools. The second dataset is a labelling and packaging bottles scenario. In this dataset, participants asked to attach labels to two bottles, then package them in the correct positions within a box. This requires opening the box, placing the bottles, closing the box, and then writing on the box as completed using a marker pen.
| Additional information: | EU FP7 (ICT Cognitive Systems and Robotics) | ||||||
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| Subjects: | I000 - Computer sciences > I400 - Artificial intelligence > I440 - Computer vision | ||||||
| Divisions: | Faculty of Engineering and Physical Sciences > School of Computing | ||||||
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| License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||||
| Date deposited: | 11 Sep 2015 09:09 | ||||||
| URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/12 | ||||||
Files
Documentation
Description of project, data and outputs [4MB]  |
Dataset description [3kB] |
Dataset description [3kB] |
Dataset description [727B] |
Description of project, data and outputs [4MB] 
Description of project, data and outputs [4MB] Data
Sample recording [7MB] |
Sample recording [15MB] |
Sample recording [13MB] |
Sample recording [6MB] |
nails_screws_front_view_fisheye.zip [636MB] |
nails_screws_top_view.zip [697MB] |
nails_screws_processed_data.zip [82MB] |
packaging_top_view_and_label.zip [1GB] |
packaging_processed_data.zip [102MB] |