A paper from the BD4QoL partner DEUSTO, “Location Based Indoor and Outdoor Lightweight Activity Recognition System”, has been published in the peer-reviewed, open access, Electronics Journal, including the final version of the data integration and fusion modules for activity recognition.

The paper presents a system able to infer user activities in indoor and outdoor environments using Global Positioning System (GPS) data together with open data sources such as OpenStreetMaps (OSM) to analyse the user’s daily activities, requiring a minimal infrastructure.

Reference: Aritz Bilbao Jayo, Xabier Cantero, Aitor Almeida, Luca Fasano, Teodoro Montanaro, Ilaria Sergi, Luigi Patrono. (2022) "Location Based Indoor and Outdoor Lightweight Activity Recognition System" In Electronics. vol. 11. p. 360. https://doi.org/10.3390/electronics11030360.

Read the full paper