Recognising user actions during cooking task (Cooking task dataset): IMU Data : [research data] Krüger, Frank , 1980- (VerfasserIn) Hein, Albert , 1982- (VerfasserIn) Yordanova, Kristina , 1985- (VerfasserIn) Kirste, Thomas , 1962- (VerfasserIn) Computerdaten Forschungsdaten 2011 2011 eng electronicelectronic resourceremoteComputermedienOnline-Ressource1 Online-Ressource 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.<eng> Frank Krüger, Albert Hein, Kristina Yordanova, Thomas Kirste 004 http://purl.uni-rostock.de/rosdok/id00000154 10.1371/journal.pone.0109381 10.1016/j.ijar.2015.04.003 10.5220/0005275204970502 10.18453/rosdok_id00001381 10.13140/RG.2.1.3294.1521 doi: 10.18453/rosdok_id00000154 oclc: 1135716614 ppn: (DE-627)1677725605