A Task-Oriented Framework for Networked Wearable Computing


Body Sensor Networks (BSNs) became prominent in analysis and business alike as a robust enabler of novel applications in human-targeted domains. But, developing applications on such systems continues to be a cumbersome process, thanks to the lack of suitable software abstractions and therefore the difficulties in managing wearable computing application within the stringent constraints of embedded systems. During this paper, we have a tendency to introduce a novel framework, SPINE2 (Signal Processing In Node Setting), that allows task-oriented programming on a platform-freelance design. We demonstrate how fairly subtle signal-processing applications will be realized in the form of simple-to-implement embedded processes. The proposed design is tested experimentally and its features are illustrated through a nontrivial case study.

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