首页> 外文会议>International Conference on Pervasive Computinge >Detecting Human Movement by Differential Air Pressure Sensing in HVAC System Ductwork: An Exploration in Infrastructure Mediated Sensing
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Detecting Human Movement by Differential Air Pressure Sensing in HVAC System Ductwork: An Exploration in Infrastructure Mediated Sensing

机译:通过HVAC系统导管差动气压传感检测人体运动:基础设施介导的探索

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We have developed an approach for whole-house gross movement and room transition detection through sensing at only one point in the home. We consider this system to be one member of an important new class of human activity monitoring approaches based on what we call infrastructure mediated sensing, or "home bus snooping." Our solution leverages the existing ductwork infrastructure of central heating, ventilation, and air conditioning (HVAC) systems found in many homes. Disruptions in airflow, caused by human inter-room movement, result in static pressure changes in the HVAC air handler unit. This is particularly apparent for room-to-room transitions and door open/close events involving full or partial blockage of doorways and thresholds. We detect and record this pressure variation from sensors mounted on the air filter and classify where certain movement events are occurring in the house, such as an adult walking through a particular doorway or the opening and closing of a particular door. In contrast to more complex distributed sensing approaches for motion detection in the home, our method requires the installation of only a single sensing unit (i.e., an instrumented air filter) connected to an embedded or personal computer that performs the classification function. Preliminary results show we can classify unique transition events with up to 75-80% accuracy.
机译:我们开发了一种通过在家中的一个点感测全室内运动和室过渡检测方法。我们认为该系统是基于我们所谓的基础设施介导的传感或“家庭公共汽车窥探”的重要新一类人类活动监测方法的一个成员。我们的解决方案利用了许多家庭中发现的中央供热,通风和空调(HVAC)系统的现有导管基础设施。由人类室内运动引起的气流中断,导致HVAC空气处理器单元的静压变化。对于房间到室的过渡和门开/关闭事件尤其显而易见,涉及门口的全部或部分堵塞和门槛。我们检测并记录安装在空气过滤器上的传感器的压力变化,并在房屋中进行某些运动事件的情况进行分类,例如穿过特定门口的成人或特定门的打开和关闭。相反,与在家中的运动检测的更复杂的分布式感测方法相反,我们的方法需要仅安装连接到执行分类功能的嵌入式或个人计算机的单个传感单元(即仪表空气过滤器)。初步结果显示,我们可以对最高可达75-80%的唯一过渡活动进行分类。

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