Kitchen Task Assessment Dataset for Measuring Errors due to Cognitive Impairments
[research data]
Yordanova, Kristina
1985-
VerfasserIn
aut
Hein, Albert
1982-
VerfasserIn
aut
Kirste, Thomas
1962-
VerfasserIn
aut
software, multimedia
Computerdaten
Forschungsdaten
gw
2020
monographic
XA-DE
Rostock
University of Rostock
publisher
2020
Rostock
University Library
distributor
eng
1 Online-Ressource
The dataset contains different types of sensor data: acceleration data from different objects and from body-worn sensors as well as annotation. The dataset consists of 12 normal runs and 12 erroneous runs, where the participants simulated typical errors due to dementia. The annotation consists of both action annotation in the form “action_object_object” as well es annotation about the object being manipulated and the hand that is manipulating it.<eng>
Kristina Yordanova, Albert Hein, Thomas Kirste
004
http://purl.uni-rostock.de/rosdok/id00002605
10.1109/PerComWorkshops48775.2020.9156147
Kristina Yordanova. Towards automated generation of semantic annotation for activity recognition problems. In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), March 2020
10.1109/PerComWorkshops48775.2020.9156115
Kristina Yordanova, Albert Hein, and Thomas Kirste. Kitchen task assessment dataset for measuring errors due to cognitive impairments. In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), March 2020
10.18453/rosdok_id00002605
1137734620
rda
DE-627
200127
1688551859
20251226T182133.0
Converted from MARCXML to MODS version 3.8 using MARC21slim2MODS3-8_XSLT1-0.xsl
(Revision 1.174 20250328)
ger