Information fusion of heterogeneous sensors for enriched personal healthcare activity logging

posted Jan 19, 2016, 5:44 AM by Byounghyun Yoo   [ updated Jan 19, 2016, 5:48 AM ]
Daeil Seo, Byounghyun Yoo*, and Heedong Ko, International Journal of Ad Hoc and Ubiquitous Computing, In press
(*Corresponding author) 

AbstractDespite the proliferation of wearable devices and mobile apps for healthcare activity monitoring, no model that complementarily integrates these monitoring logs making up personal big data has been put forth. In addition, such datasets are too large to yield meaningful information. To deal with data from heterogeneous sources, a common format and information fusion model for the complementary aggregation and abstraction of logs are necessary. We introduce a sensor and activity model that classifies heterogeneous sensors and propose an information fusion method that reorganizes personal healthcare activity logs and visualizes them hierarchically in a harmonized way while providing a meaningful summary. 

Keywords: healthcare, information fusion, activity model, sensor model


CoverageScience Citation Index Expanded

ISSN: 1743-8225