by Research Team | Sep 16, 2020 | Research Publications
Author(s): Xue WuMan ZhaoHan-Teng LiaoSi-Pan Sun Abstract: As an increasing amount of personal data has been gathered by wearable and mobile devices, self-tracking, or the practice that people keep track, has become an important topic in Artificial Intelligence (AI)...
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 | Nov 14, 2018 | Research Publications
Author(s): Dargazany, ArasStegagno, PaoloMankodiya, Kunal Abstract: This work introduces Wearable deep learning (WearableDL) that is a unifying conceptual architecture inspired by the human nervous system, offering the convergence of deep learning (DL),...
by Research Team | Sep 10, 2018 | Research Publications
Author(s): Beth Leavenworth DuFault John W. Schouten Abstract: This study delivers a clearer understanding of the constitution of the datapreneurial consumer, the role of the market in that construction, and the implications for consumer identity projects in the age...
by Research Team | Jul 2, 2018 | Research Publications
Author Kathryn Montgomery Jeff Chester Katharina Kopp Abstract Wearable fitness devices have the potential to address some of the most challeng-ing public health problems in the United States. But they also raise serious pri-vacy concerns. The data they collect can be...
