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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset of Manufacturing Tasks - DMT22

Authors: Duarte, Laura; Neto, Pedro;

Dataset of Manufacturing Tasks - DMT22

Abstract

Description: The dataset of manufacturing tasks (DMT22), features five representative assembly primitive actions (PickUp, Place, Screw, Idle and Hold), collected from 5 different subjects featuring 3 different objects, a Wii remote, a hard disk drive, and an electric screwdriver. Available Data: The DMT22 dataset contains recorded data from an event camera (DAVIS 240C), a depth camera (Intel RealSense D435) and a magnetic tracking system (Polhemus Liberty). The event camera captured events and APS frames with a resolution of 240 pixels × 180 pixels. DAVIS APS data are captured at 30 fps (frames per second). Event data is available in the original recorded format, .aedat, together with a .txt file containing label and its corresponding timestamp range, and a .mat file which contains the information from the events (coordinates x and y, timestamp and polarity). The electromagnetic tracker was used to capture pose data, at 20 Hz, from a sensor attached to the subject’s wrist. The data is available in .mat format. It contains 6DOF data (position and orientation) followed by the timestamp of measured data (relative to the start of the recording). RGB-D camera data is available, at 30fps, in the original recorded format, .bag. The dataset features a total of 72 recordings: 4 right-handed subjects × 3 tasks × 4 performances + 1 left-handed subject × 2 configurations (left and right) × 3 tasks × 4 performances. Each task recording lasts approximately 25 seconds.

Related Organizations
Keywords

Computer Vision, RGB-D, Event Camera, DVS, Polhemus Liberty

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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