Seo, Daeil Yoo, Byounghyun Ko, Heedong 2024-01-19T23:04:44Z 2024-01-19T23:04:44Z 2021-09-03 2018-03 1743-8225 https://pubs.kist.re.kr/handle/201004/121638 Despite 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 reorganises personal healthcare activity logs and visualises them hierarchically in a harmonised way while providing a meaningful summary. English INDERSCIENCE ENTERPRISES LTD MANAGEMENT Information fusion of heterogeneous sensors for enriched personal healthcare activity logging Article 10.1504/IJAHUC.2018.090597 1 INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, v.27, no.4, pp.256 - 269 INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING 27 4 256 269 scie scopus 000428232900002 2-s2.0-85044719103 Computer Science, Information Systems Telecommunications Computer Science Telecommunications Article MANAGEMENT healthcare information fusion activity model sensor model