1st UCAmI Cup

Context

Many real-world applications that focus on addressing the needs of a human, require information pertaining to the underlying activities that are being performed. The UCAmI Cup has been launched as an annual event within the context of the UCAmI Conference. Delegates are provided with the opportunity to use their tools and techniques to analyse an openly available human activity recognition dataset and to compare their results with others working in the same domain, with the same dataset.

Aim

For the first year of the UCAmI Cup, the competition is focused on the recognition of a range of human activities, performed by a single participant, in a single manner. Data was collected in the UJAmI SmartLab in the University of Jaén (UJAEN), Spain over a period of 10 days. Data was collected each day at three differing periods of time: morning, afternoon and evening.

The paper about the UJAmI Smart Lab is the following  " The experience of developing the UJAmI Smart lab. M. Espinilla, L. Martinez, J. Medina, C. Nugent. IEEE Access. 10.1109/ACCESS.2018.2849226", being its URL https://ieeexplore.ieee.org/document/8390914/

Dataset

The selected dataset represents 246 instances of 24 activity class that were carried out by a single male inhabitant in the SmartLab of the University of Jaen. The dataset contains a README file that describes in detail the UJAmI SmartLab of the UJAEN, the information related with the dataset as well as the following four data sources:

• 1. Event streams of binary sensor.
• 2. Spatial data from an intelligent floor.
• 3. Proximity data between a smart watch worn by the inhabitant and Bluetooth beacons.
• 4. Acceleration data from the same smart watch worn by the inhabitant.

All four data sources are available. Participants can use one source, several sources or all four data sources.