Computational Model for Wearable Hardware Commodities
| Autor: | Ole Christian Moholth, Karoline Moholth McClenaghan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Exploit
business.industry Computer science Wearable computer 020207 software engineering Cloud computing 02 engineering and technology Data modeling Software Human–computer interaction 0202 electrical engineering electronic engineering information engineering Programming paradigm 020201 artificial intelligence & image processing business Architectural model Wearable technology |
| Zdroj: | DASC/PiCom/DataCom/CyberSciTech |
| DOI: | 10.1109/dasc/picom/cbdcom/cyberscitech.2019.00055 |
| Popis: | In this paper we propose a software architectural model, which generates software applications suitable for commodity hardware, and exploits sensor generated data from wearables for issuing warnings/advice/information relevant to the wearer, at the time when the data is generated. The novelty of the software solution is in using the ReactiveX programming paradigm in order to perform computations very close to data origins and consequently promoting computing at the edge. The proposal also addresses the issues of latency prevalent in cloud computations, commonly associated with wearable devices. We illustrate our proposal by exploiting data generated through Fitbit devices and demonstrate its usefulness in addressing the wearers' needs to extend the device role in fitness towards wellbeing healthcare management. The results from this research might appeal to manufacturers of wearables, if they wish to explore placing computations outside the Cloud and design a new generation of devices, which would consider computations at the edge, as default in future. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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