Abstract
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 language | English |
|---|---|
| Title of host publication | Smart Sensors and Systems |
| Publisher | Springer International Publishing |
| Pages | 387-397 |
| Number of pages | 11 |
| ISBN (Electronic) | 9783319147116 |
| ISBN (Print) | 9783319147109 |
| DOIs | |
| State | Published - 1 Jan 2015 |
UN SDGs
This output contributes to the following Sustainable Development Goal(s)
