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COGNITO: Activity monitoring and recovery

Behera, Ardhendu and Hogg, David and Cohn, Anthony (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)
Subjects: I000 - Computer sciences > I400 - Artificial intelligence > I440 - Computer vision
Divisions: Faculty of Engineering > School of Computing
Related resources:
LocationType
http://eprints.whiterose.ac.uk/87830/Publication
http://dx.doi.org/10.1371/journal.pone.0127769Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 11 Sep 2015 09:09
URI: http://archive.researchdata.leeds.ac.uk/id/eprint/12

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