A task-oriented framework for networked wearable computing

S. Galzarano, R. Giannantonio, A. Liotta, G. Fortino

Research output: Contribution to journalArticleAcademicpeer-review

33 Citations (Scopus)
6 Downloads (Pure)

Abstract

Body Sensor Networks (BSNs) have become prominent in research and industry alike as a powerful enabler of novel applications in human-centered domains. However, developing applications on such systems is still a cumbersome process, due to the lack of suitable software abstractions and the difficulties in managing wearable computing application within the stringent constraints of embedded systems. In this paper, we introduce a novel framework, SPINE2 (Signal Processing In Node Environment), which allows task-oriented programming on a platform-independent architecture. We demonstrate how fairly sophisticated signal-processing applications can be realized in the form of easy-to-implement embedded processes. The proposed architecture is tested experimentally and its features are illustrated through a nontrivial case study.
Original languageEnglish
Pages (from-to)621 - 638
Number of pages18
JournalIEEE Transactions on Automation Science and Engineering
Volume13
Issue number2
DOIs
Publication statusPublished - 5 Apr 2016

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