by Research Team | Oct 30, 2019 | Research Publications
Author(s): Erdeniz, Seda PolatMenychtas, AndreasMaglogiannis, IliasFelfernig, AlexanderTran, Thi Ngoc Trang Abstract: As an emerging trend in big data science, applications based on the Quantified-Self (QS) engage individuals in the self-tracking of any kind of...
by Research Team | Oct 21, 2019 | Research Publications
Author(s): White, GaryLiang, ZiluClarke, Siobhan Abstract: A variety of self-Tracking applications and devices have been developed in recent years to support users in tracking their weight, calories eaten, physical activities, sleep and productivity. The availability...
by Research Team | Oct 10, 2019 | Research Publications
Author(s): Pols, JeannetteWillems, DickAanestad, Margunn Abstract: Prevention enthusiasts show great optimism about the potential of health apps to modify peoples’ lifestyles through the tracking and quantification of behaviours and bodily signs. Critical sociologists...
by Research Team | Sep 15, 2019 | Research Publications
Author(s): Calvard, Thomas Abstract: A key technological trend in big data science is that of the quantified self, whereby individuals can self-track their health and well-being using various sources of information. The aim of this article was to integrate...
by Research Team | Aug 27, 2019 | Research Publications
Author(s): Agarwal, Shivang Terrail, Jean Ogier Du Jurie, Frédéric Abstract: Object detection-the computer vision task dealing with detecting instances of objects of a certain class (e.g., ‘car’, ‘plane’, etc.) in images-attracted a lot of...