@Electronic{1677717084,
author="Kr{\"u}ger, Frank
and Hein, Albert
and Yordanova, Kristina
and Kirste, Thomas",
title="Recognising the actions during cooking task (Cooking task dataset): [research data]",
year="2011",
address="Rostock",
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. 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 Kr{\"u}ger et al.<eng>",
note="Frank Kr{\"u}ger, Albert Hein, Kristina Yordanova, Thomas Kirste",
doi="10.18453/rosdok_id00000116",
url="http://purl.uni-rostock.de/rosdok/id00000116",
url="https://doi.org/10.18453/rosdok_id00000116",
language="English"
}