143570 - On curating multimodal sensory data for health and wellness platforms.pdf (6.16 MB)Download file
On curating multimodal sensory data for health and wellness platforms
journal contributionposted on 2023-05-20, 22:11 authored by Muhammad Bilal AminMuhammad Bilal Amin, Banos, O, Khan, WA, Bilal, HSM, Gong, J, Bui, D-M, Cho, SH, Hussain, S, Ali, T, Akhtar, U, Chung, TC, Lee, S
In recent years, the focus of healthcare and wellness technologies has shown a significant shift towards personal vital signs devices. The technology has evolved from smartphone-based wellness applications to fitness bands and smartwatches. The novelty of these devices is the accumulation of activity data as their users go about their daily life routine. However, these implementations are device specific and lack the ability to incorporate multimodal data sources. Data accumulated in their usage does not offer rich contextual information that is adequate for providing a holistic view of a user’s lifelog. As a result, making decisions and generating recommendations based on this data are single dimensional. In this paper, we present our Data Curation Framework (DCF) which is device independent and accumulates a user’s sensory data from multimodal data sources in real time. DCF curates the context of this accumulated data over the user’s lifelog. DCF provides rule-based anomaly detection over this context-rich lifelog in real time. To provide computation and persistence over the large volume of sensory data, DCF utilizes the distributed and ubiquitous environment of the cloud platform. DCF has been evaluated for its performance, correctness, ability to detect complex anomalies, and management support for a large volume of sensory data.
Department/SchoolSchool of Information and Communication Technology
PublisherMolecular Diversity Preservation International
Place of publicationMatthaeusstrasse 11, Basel, Switzerland, Ch-4057
Rights statementc 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).