首页> 外文会议>Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International >New approach to passive infrared motion sensors signal processing for Ambient Assisted Living Applications
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New approach to passive infrared motion sensors signal processing for Ambient Assisted Living Applications

机译:用于环境辅助生活应用的无源红外运动传感器信号处理的新方法

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This paper introduces a new approach to the signal processing algorithms applied for the data provided by passive infrared (PIR) motion sensors used in Ambient Assisted Living Applications (AAL). In AAL, PIR sensors are deployed differently than in the typical security applications and different results are expected by the users from the sensors. In security applications, it is required to inform the security system as soon as possible about any movement in the observed area, while in ALL applications the system and at the end the users are interested the intensity of the movement in a given time frame (typically several seconds to a minute). Therefore, first we list the differences in the specification developed for the AAL applications compared to the typical security application, then we introduce a sensor node system architecture for wireless PIR sensor nodes including a new signal processing algorithm and a data communication method capable of fulfilling the modified requirements. An implementation of the new approach is also given in the paper detailing the hardware and software architecture and algorithms used in the sensor node. The initial test results are also shown proving the applicability of the new approach. The conclusions list possible perspective new application areas also, in which we plan to test the new sensors in the future.
机译:本文介绍了一种信号处理算法的新方法,该算法适用于环境辅助生活应用(AAL)中使用的被动红外(PIR)运动传感器提供的数据。在AAL中,PIR传感器的部署方式与典型安全应用程序中的部署方式不同,并且用户期望传感器获得不同的结果。在安全应用程序中,需要尽快将观察区域内的任何移动通知安全系统,而在所有应用程序中,系统以及最终用户都希望在给定的时间范围内(通常是)移动的强度。几秒钟到一分钟)。因此,首先我们列出了为AAL应用开发的规范与典型的安全应用相比的差异,然后我们介绍了用于无线PIR传感器节点的传感器节点系统体系结构,其中包括一种新的信号处理算法和一种能够满足以下要求的数据通信方法:修改后的要求。本文还给出了新方法的实现,详细介绍了传感器节点中使用的硬件和软件架构以及算法。还显示了初始测试结果,证明了该新方法的适用性。结论还列出了可能的新应用前景,我们计划在将来对新传感器进行测试。

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