UCAmI Cup. Analyzing the UJA Human Activity Recognition Dataset of Activities of Daily Living †
1
Department of Computer Science, University of Jaen, 23071 Jaén, Spain
2
School of Computing, Ulster University, Jordanstown Campus, Belfast BT37 0QB, UK
*
Author to whom correspondence should be addressed.
†
Presented at the 12th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2018), Punta Cana, Dominican Republic, 4–7 December 2018.
Proceedings 2018, 2(19), 1267; https://doi.org/10.3390/proceedings2191267
Published: 26 October 2018
(This article belongs to the Proceedings of UCAmI 2018)
Many real-world applications, which are focused on addressing the needs of a human, require information pertaining to the activities being performed. The UCAmI Cup is an event held within the context of the International Conference on Ubiquitous Computing and Ambient Intelligence, where delegates are given the opportunity to use their tools and techniques to analyse a previously unseen human activity recognition dataset and to compare their results with others working in the same domain. In this paper, the human activity recognition dataset used relates to activities of daily living generated in the UJAmI Smart Lab, University of Jaén. The dataset chosen for the first edition of the UCAmI Cup represents 246 activities performed over a period of ten days carried out by a single inhabitant. The dataset includes four data sources: (i) event streams from 30 binary sensors, (ii) intelligent floor location data, (iii) proximity data between a smart watch worn by the inhabitant and 15 Bluetooth Low Energy beacons and (iv) acceleration of the smart watch. In this first edition of the UCAmI Cup, 26 participants from 10 different countries contacted the organizers to obtain the dataset.
Keywords:
activity recognition; shared datasets; binary sensors; BLE beacons; acceleration; activities of daily living
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Espinilla, M.; Medina, J.; Nugent, C. UCAmI Cup. Analyzing the UJA Human Activity Recognition Dataset of Activities of Daily Living. Proceedings 2018, 2, 1267. https://doi.org/10.3390/proceedings2191267
AMA Style
Espinilla M, Medina J, Nugent C. UCAmI Cup. Analyzing the UJA Human Activity Recognition Dataset of Activities of Daily Living. Proceedings. 2018; 2(19):1267. https://doi.org/10.3390/proceedings2191267
Chicago/Turabian StyleEspinilla, Macarena, Javier Medina, and Chris Nugent. 2018. "UCAmI Cup. Analyzing the UJA Human Activity Recognition Dataset of Activities of Daily Living" Proceedings 2, no. 19: 1267. https://doi.org/10.3390/proceedings2191267
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