publié le: 2020
Self-tracking practices enable users to record and analyze their personal data. In recent years, non-digital forms of manual self-tracking, such as bu...
publié le: 2021
In this study, we propose novel gamified active learning and inaccuracy detection for crowdsourced data labeling for an activity recognition system us...
In this paper, we investigate the feasibility of using mobility patterns and demographic data to predict hospital visits. We collect mobility traces f...
Human activity recognition (HAR) based on sensing data from wearable and mobile devices has become an active research area in ubiquitous computing, an...
Accurate and up-to-date digital road maps are the foundation of many mobile applications, such as navigation and autonomous driving. A manually-create...