publié le: 2020
Many self-trackers lose interest in, disengage from and ultimately withdraw from tracking. Reasons for this include poor motivation, unmet expectation...
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...
