Abstract
Life-logs, which are automatically acquired by wearable trackers and smartphones, can be leveraged to show quality of life indicators to patients. This can help patients better assess the effects of treatments and therefore improve the long-term adherence to medications. In this paper, we present a system dedicated to the acquisition, fusion, and storage of life-log data generated by commercial wearable trackers and smartphone sensors. We also outline how, in particular, the fatigue indicator can be inferred from life-logs.