Research Data Leeds Repository

Mobile robot observing kitchen activities - University of Leeds

Duckworth, Paul and Alomari, Muhannad and Cohn, Anthony (2016) Mobile robot observing kitchen activities - University of Leeds. University of Leeds. [Dataset] https://doi.org/10.5518/86

There is a more recent version of this item available.

Dataset description

A collection of human detections captured using a mobile robot during one week patrolling a university staff and student common room and kitchen area. Data includes RGB images of detections, estimated skeleton pose from depth sensor, robot odometry and ground truth segmentation and labelling of activities.

Additional information:	AN UPDATED VERSION OF THIS DATA IS AVAILABLE http://archive.researchdata.leeds.ac.uk/235/
Keywords:	Machine learning for robotics; Qualitative Spatial Representations; Mobile Robotics; Unsupervised Learning
Subjects:	I000 - Computer sciences > I400 - Artificial intelligence H000 - Engineering > H600 - Electronic & electrical engineering > H670 - Robotics & cybernetics > H671 - Robotics
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing
Related resources:	Location Type http://eprints.whiterose.ac.uk/103049/ Publication https://doi.org/10.3233/978-1-61499-672-9-1062 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	11 Aug 2016 17:16
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/68
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Duckworth, Paul https://orcid.org/0000-0001-9052-6919 Alomari, Muhannad https://orcid.org/0000-0002-6565-4887 Cohn, Anthony https://orcid.org/0000-0002-7652-8907 Type of data: Dataset Research funders: STRANDS project 600623 Collection period: Date from Date to 5 April 2016 11 April 2016 Grant numbers: EU FP7 project 600623 Publication date: 2016 Legal and ethical issues: Some images are blurred for anonymisation, as per Ethics Approval. Resource language: English Metadata language: English Research project title: Spatio-Temporal Representation and Activities for Cognitive Control in Long-Term Scenarios (STRANDS) Publisher: University of Leeds Contact Email Address: scpd@leeds.ac.uk Last Modified: 06 Sep 2017 10:46

Files

Documentation

Readme (pdf) [68kB] Readme (pdf) [68kB] Readme (pdf) [68kB] Visible to: Anyone File name: README.pdf Content type: Documentation Description: readme Mime-Type: application/pdf License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 68kB

Readme (markdown) [5kB] Readme (markdown) [5kB] Readme (markdown) [5kB] Visible to: Anyone File name: README.md Content type: Documentation Description: readme License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 5kB

Data

Human detection data [13GB] Human detection data [13GB] Human detection data [13GB] Visible to: Anyone File name: Data.zip Content type: Data Description: Contains 5 zipped directories named using the date the recordings were collected(yyyy-mm-dd). Collectively contain 295 human detections. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 13GB

Metadata

Maps [36kB] Maps [36kB] Maps [36kB] Visible to: Anyone File name: Maps.zip Content type: Metadata Description: ROS Map Server map image; ROS Map Server map yaml file Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 36kB

ROS Message [731B] ROS Message [731B] ROS Message [731B] Visible to: Anyone File name: msg_definitions.zip Content type: Metadata Description: ROS Message definition: joint_message; ROS Message definition: skeleton_complete; ROS Message definition: skeleton_message Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 731B

List of anonymised files [3kB] List of anonymised files [3kB] List of anonymised files [3kB] Visible to: Anyone File name: anonymous_video_list.txt Content type: Metadata Description: List of which files have been blurred to preserve anonymisation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Citation [1kB] Citation [1kB] Citation [1kB] Visible to: Anyone File name: citation Content type: Metadata Description: Bibtex citation file: Unsupervised Activity Recognition using Latent Semantic Analysis on a Mobile Robot. In: ECAI 2016: 22nd European Conference on Artificial Intelligence, 29 Aug - 02 Sep 2016, The Hague, Netherlands License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Positions of semantic objects [847B] Positions of semantic objects [847B] Positions of semantic objects [847B] Visible to: Anyone File name: semantic_object_positions Content type: Metadata Description: Map frame coordinates of position of semantic objects in the environment License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 847B

Program

Create Skeleton Images Python script [5kB] Create Skeleton Images Python script [5kB] Create Skeleton Images Python script [5kB] Visible to: Anyone File name: create_sk_images.py Content type: Program Description: Python script to create RGB images with tracked skeleton points overlaid. License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 5kB