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An agent-based signal processing in-node environment for real-time human activity monitoring based on wireless body sensor networks

机译:基于代理的信号处理节点环境,用于基于无线人体传感器网络的实时人体活动监控

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Nowadays wireless body sensor networks (WBSNs) have great potential to enable a broad variety of assisted living applications such as human biophysical/biochemical control and activity monitoring for health care, e-fitness, emergency detection, emotional recognition for social networking, security, and highly interactive games. It is therefore important to define design methodologies and programming frameworks which enable rapid prototyping of WBSN applications. Several effective application development frameworks have been already proposed for WBSNs designed for TinyOS-based sensor platforms, e.g. CodeBlue, SPINE, and Titan. In this paper we present an application of MAPS, an agent framework for wireless sensor networks based on the Java-programmable Sun SPOT sensor platform, for the development of a real-time WBSN-based system for human activity monitoring. The agent-oriented programming abstractions provided by MAPS allow effective and rapid prototyping of the sensor-side software. In particular, the architecture of the developed system is a typical star-based WBSN composed of a coordinator node and two sensor nodes located respectively on the waist and the thigh of the monitored assisted living. The coordinator relies on a JADE-based enhancement of the SPINE coordinator and allows configuring sensors, receiving their data, and recognizing pre-defined human activities. On the other hand, each sensor node runs a MAPS-based agent that performs sensing of the 3-axial accelerometer sensor, computation of significant features on the acquired data, feature aggregation and transmission to the coordinator. The experimentation phase of the prototype, which allows evaluating the obtainable monitoring performances and activity recognition accuracy, is described. Moreover, a comparison of the monitoring system based on MAPS, AFME and SPINE in terms of programming effectiveness and system performances is discussed.
机译:如今,无线人体传感器网络(WBSN)具有极大的潜力,可支持多种辅助生活应用,例如人类生物物理/生化控制和医疗保健活动监视,电子健身,紧急情况检测,社交网络的情感识别,安全性和高度互动的游戏。因此,重要的是定义设计方法和编程框架,以使WBSN应用程序快速原型化。已经针对基于TinyOS的传感器平台设计的WBSN提出了几种有效的应用程序开发框架,例如CodeBlue,SPINE和Titan。在本文中,我们提出了MAPS(一种基于Java可编程Sun SPOT传感器平台的无线传感器网络代理框架)的应用程序,用于开发基于WBSN的实时实时人类活动监控系统。 MAPS提供的面向代理的编程抽象允许对传感器侧软件进行有效而快速的原型制作。特别地,所开发系统的体系结构是典型的基于星型的WBSN,由协调器节点和分别位于被监视辅助生活的腰部和大腿上的两个传感器节点组成。该协调器依靠SPINE协调器的基于JADE的增强,并允许配置传感器,接收其数据以及识别预先定义的人类活动。另一方面,每个传感器节点都运行基于MAPS的代理,该代理执行3轴加速度计传感器的感测,对获取的数据进行重要特征的计算,特征聚合并将其传输到协调器。描述了原型的实验阶段,该阶段可以评估可获得的监视性能和活动识别准确性。此外,讨论了基于MAPS,AFME和SPINE的监视系统在编程有效性和系统性能方面的比较。

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