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Preliminary investigation of indoor event detection using active sound probing

机译:使用主动声音探测的室内事件检测初步调查

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摘要

Event detection of indoor objects such as doors has a variety of application including intruder detection, HVAC control, surveillance of independently living elderly persons. Therefore, numerous researches have been done on this topic by the UbiComp research community. In this research, we propose a method to accurately detect events in indoor everyday objects such as doors and windows without using distributed ubiquitous sensors. In our approach, we perform event recognition conjoining the Doppler shift that occurs by the moving indoor objects and the acoustic characteristics of the environment acquired by the impulse response. Analysis of the time series data of the Doppler shift, using directional high frequency sine wave to acquire information of the direction of the occurred event, using stereo microphones to record the reflected wave can be stated as the specialties in this research. Also, by incorporating the knowledge about the state transitions of an object in to a recognition model, we will try to increase the accuracy of our recognitions.
机译:门户诸如门的活动检测具有各种应用,包括入侵者检测,HVAC控制,独立的老年人的监视。因此,UBICOMP研究界对此主题进行了许多研究。在这项研究中,我们提出了一种方法来准确地检测室内日常物体中的事件,例如门窗,而不使用分布式无处不在传感器。在我们的方法中,我们执行由移动室内物体和由脉冲响应所获取的环境的声学特性发生的多普勒换档的事件识别。分析多普勒换档的时间序列数据,使用方向高频正弦波获取发生的事件方向的信息,使用立体声麦克风记录反射波可以作为本研究的专业。此外,通过将关于对象的状态转换的知识纳入识别模型,我们将尝试提高我们识别的准确性。

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