Shimmer, Cooja和Contiki:用于模拟节点上信号处理算法的新工具集

P. Kugler, Philipp Nordhus, B. Eskofier
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引用次数: 44

摘要

可穿戴式传感器广泛应用于数据采集。传感器节点也被应用于实时应用,例如心电图分析或活动和跌倒检测。传感器数据的处理要么在外部设备上完成,要么在节点本身上完成。虽然节点上处理降低了数据速率并延长了电池寿命,但开发和测试可能非常耗时。为了更快地实现这些算法,我们提出了一个使用Cooja模拟器、MSPSim和Contiki操作系统的Shimmer平台仿真框架。我们提供了与ShimmerConnect协议兼容的模拟器和示例应用程序,允许将原始和预处理的传感器数据流式传输到MATLAB, LabView和Android。此外,在传感器节点上实现了一个简单的活动和跌倒检测算法,并使用模拟器和真实硬件进行了评估。在未来,这将允许快速开发和测试节点上的预处理算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shimmer, Cooja and Contiki: A new toolset for the simulation of on-node signal processing algorithms
Wearable sensors are widely used for data collection in many applications. Ssensor nodes have also been applied for real-time applications, e.g. for ECG analysis or activity and fall detection. Processing of the sensor data is either done on an external device or on the node itself. While on-node processing reduces data rate and increases battery life, development and testing can be time-consuming. To allow faster implementation of such algorithms, we propose a simulation framework for the Shimmer platform using the Cooja simulator, MSPSim and the Contiki operating system. We provide the simulator and example applications compatible with the ShimmerConnect protocol, allowing streaming of raw and pre-processed sensor data to MATLAB, LabView and Android. Additionally, a simple activity and fall detection algorithm was implemented on the sensor node and evaluated using both the simulator and real hardware. In the future this will allow rapid development and testing of on-node pre-processing algorithms.
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