| title: |
| Recognising user actions during cooking task (Cooking task dataset): IMU Data : [research
data] |
|
| contributing persons: |
| Frank Krüger[VerfasserIn] |
 |
0000-0002-7925-3363 |
 |
1079875972 |
|
University of Rostock, Institute of Computer Science, Mobile Multimedia Information
Systems Group |
| Albert Hein[VerfasserIn] |
|
1079876189 |
|
University of Rostock, Institute of Computer Science, Mobile Multimedia Information
Systems Group |
| Kristina Yordanova[VerfasserIn] |
|
0000-0002-6428-1062 |
|
1056892773 |
|
University of Rostock, Institute of Computer Science, Mobile Multimedia Information
Systems Group |
| Thomas Kirste[VerfasserIn] |
|
137244754 |
|
University of Rostock, Institute of Computer Science, Mobile Multimedia Information
Systems Group |
|
| |
| abstract: |
|
The dataset contains the data of acceleration sensors attached to a person during
the execution of a kitchen task. It consists of 7 datasets that describe the execution
of preparing and having a meal: preparing the ingredients, cooking, serving the meal,
having a meal, cleaning the table, and washing the dishes. Each of these datasets
consists of the raw acceleration and angular rates that were recorded with motion
capturing system based on wearable inertial measurement units (IMUs).The aim of the
experiment is to investigate the ability of activity recognition approaches to recognise
fine-grained user activities based on acceleration data. The results from the dataset
can be found in the PlosOne paper "Computational State Space Models for Activity and
Intention Recognition. A Feasibility Study" by Krüger et al.
[English] |
|
| document type: |
|
| institution: |
| Faculty of Computer Science and Electrical Engineering |
|
| language: |
|
| subject class (DDC): |
| 004 Data processing Computer sciences |
|
| |
publication /
production: |
Rostock
|
Rostock: University of Rostock
|
|
2011
|
|
| statement of responsibility: |
| Frank Krüger, Albert Hein, Kristina Yordanova, Thomas Kirste |
|
| |
| identifiers: |
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| references: |
Forschungsdaten zu:
Frank Krüger, Martin Nyolt, Kristina Yordanova, Albert Hein, and Thomas Kirste. Computational
state space models for activity and intention recognition. a feasibility study. PLoS
ONE, 9(11):e109381, 11 2014
|
Forschungsdaten zu:
Martin Nyolt, Frank Krüger, Kristina Yordanova, Albert Hein, and Thomas Kirste. Marginal
filtering in large state spaces. International Journal of Approximate Reasoning, 61:16–32,
June 2015
|
Forschungsdaten zu:
Martin Nyolt, Kristina Yordanova, and Thomas Kirste. Checking models for activity
recognition. In Proceedings of the International Conference on Agents and Artificial
Intelligence (ICAART), pages 497–502, Lisbon, Portugal, January 2015
|
Forschungsdaten zu:
Kristina Yordanova. Methods for Engineering Symbolic Human Behaviour Models for Activity
Recognition. PhD thesis, Institute of Computer Science, Rostock, Germany, June 2014
|
Forschungsdaten zu:
Kristina Yordanova and Thomas Kirste. Towards systematic development of symbolic models
for activity recognition in intelligent environments. In Proceedings of The 3rd Workshop
on AI Problems and Approaches for Intelligent Environments held at ECAI 2014, Prague,
Czech Republic, August 2014.
|
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| access condition: |
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| license/rights statement: |
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| RosDok id: |
rosdok_document_0000010639 |
| created / modified: |
18.10.2017 / 17.10.2023
|
| metadata license: |
The metadata of this document was dedicated to the public domain
(CC0 1.0 Universal Public Domain Dedication). |
access
