Information fusion of heterogeneous sensors for enriched personal healthcare activity logging
by Daeil Seo; Byounghyun Yoo; Heedong Ko
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 27, No. 4, 2018

Abstract: 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.

Online publication date: Tue, 20-Mar-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email