A sensor-fusion solution for mobile health-care applications

Chen-Yi Lee*, Kelvin Yi Tse Lai, Shu Yu Hsu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations


As Internet of Things (IoT) and wearable devices become the next wave of emerging markets, it is very necessary to provide a set of sensors related to target applications so that decision-making becomes more reliable from collected data. However multi-sensor approach results in higher data rate and larger power consumption, which may not be accepted by application requirements, e.g. mobile health-care. In this paper, a sensor-fusion approach will be introduced to provide an energy-efficient and data-reliable solution. By exploiting event-driven architecture, energy efficiency can be enhanced; on the other hand, analysis accuracy can be further improved with the support of multi-data sets. As a result, both power consumption and data bandwidth can be minimized with better accuracy to meet those specifications in battery-operated devices. A test vehicle related to mobile health-care applications will also be introduced to demonstrate the feasibility of our proposal.

Original languageEnglish
Title of host publicationSmart Sensors and Systems
PublisherSpringer International Publishing
Number of pages11
ISBN (Electronic)9783319147116
ISBN (Print)9783319147109
StatePublished - 1 Jan 2015


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