10.18453/rosdok_id00000116
Krüger, Frank
Frank
Krüger
http://d-nb.info/gnd/1079875972
https://orcid.org/0000-0002-7925-3363
University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group
Hein, Albert
Albert
Hein
http://d-nb.info/gnd/1079876189
University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group
Yordanova, Kristina
Kristina
Yordanova
http://d-nb.info/gnd/1056892773
https://orcid.org/0000-0002-6428-1062
University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group
Kirste, Thomas
Thomas
Kirste
http://d-nb.info/gnd/137244754
University of Rostock, Institute of Computer Science, Mobile Multimedia Information Systems Group
Recognising the actions during cooking task (Cooking task dataset)
University of Rostock
2011
004 Data processing Computer sciences
2011
en
http://purl.uni-rostock.de/rosdok/id00000116
urn:nbn:de:gbv:28-rosdok_id00000116-1
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. 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.