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 language | English |
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Pages (from-to) | 621 - 638 |
Number of pages | 18 |
Journal | IEEE Transactions on Automation Science and Engineering |
Volume | 13 |
Issue number | 2 |
DOIs | |
Publication status | Published - 5 Apr 2016 |