Repository details
Grand Challenge Data Collection
Name of repository
Grand Challenge Data Collection
Additional name(s)
- Carnegie Mellon University Multi-Modal Activity Database
- CMU-MMAC Database
Repository URL
Subject(s)
Description
The CMU Multi-Modal Activity Database (CMU-MMAC) database contains multimodal measures of the human activity of subjects performing the tasks involved in cooking and food preparation. The CMU-MMAC database was collected in Carnegie Mellon's Motion Capture Lab. A kitchen was built and to date twenty-five subjects have been recorded cooking five different recipes: brownies, pizza, sandwich, salad, and scrambled eggs.
Contact(s)
- jkh+mocap@cs.cmu.edu
Keyword(s)
Repository type(s)
- disciplinary
Research data repository language(s)
- English
Data and/or service provider
- dataProvider
Institutions (3)
Additional name(s)
- CMU, QoLT Center
Country
Type(s) of responsibility
- general
Type of institution
non-profit
Country
Type(s) of responsibility
- technical
Type of institution
non-profit
Additional name(s)
- NSF
Country
Type(s) of responsibility
- funding
Type of institution
non-profit
Policies (1)
Policy Name
Database access
Type of access to research data repository
open
Data access (1)
Type of access to data
open
Data licenses (1)
DataLicense
Data upload (1)
Type of data upload
closed
Persistent identifier system(s)
- none
Name of the repository software
- other
Data citation guideline
Enhanced Publication
unknown
Quality management
unknown
Remarks
Remarks
The data used in this paper was obtained from kitchen.cs.cmu.edu and the data collection was funded in part by the National Science Foundation under Grant No. EEEC-0540865.
Entry date
2016-10-20
Last update
2022-03-28
Cite this re3data.org record:
re3data.org: Grand Challenge Data Collection; editing status 2022-03-28; re3data.org - Registry of Research Data Repositories. http://doi.org/10.17616/R3QS7W last accessed: 2025-04-30- Current projects
- EOSC FAIR-IMPACT
-
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- Cite this service: re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R3D last accessed: 2025-04-30
