使用SPINE框架对活动监控系统进行性能分析

2009 3rd International Conference on Pervasive Computing Technologies for Healthcare Pub Date : 2009-04-01 DOI:10.4108/ICST.PERVASIVEHEALTH2009.6004

Roberta Giannantonio, Raffaele Gravina, P. Kuryloski, Ville-Pekka Seppä, F. Bellifemine, J. Hyttinen, M. Sgroi

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引用次数: 6

摘要

SPINE是一个用于设计信号处理密集型(SPI)无线传感器网络的开源框架。它通过高级抽象和库支持WSN应用程序的构建，并允许设计人员通过快速原型快速探索实现折衷。本文描述了SPINE的体系结构，并给出了实现参数，如处理时间、内存、带宽使用和功耗，这些参数与应用程序开发人员设置可调参数和分析系统性能最相关。最后，介绍了基于SPINE的老年人健康监测姿势识别系统的性能和资源使用情况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance analysis of an activity monitoring system using the SPINE framework

SPINE is an Open Source Framework for the design of signal processing intensive (SPI) WSNs. It supports the construction of WSN applications through high-level abstractions and libraries, and allows designers to quickly explore implementation tradeoffs through fast prototyping. This paper describes the architecture of SPINE and presents implementation parameters, such as processing time, memory, bandwidth usage and power consumption that are most relevant for application developers to set tunable parameters and analyze system performance. Finally, the paper presents the performance and the resource usage of a SPINE based posture recognition system for elderly health monitoring.

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2009 3rd International Conference on Pervasive Computing Technologies for Healthcare

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