PigV $^2$：通过心跳和呼吸引起的地面振动监测猪的生命体征
PigV$^2$: Monitoring Pig Vital Signs through Ground Vibrations Induced by Heartbeat and Respiration
摘要：
猪生命体征监测（例如，估计心率（HR）和呼吸率（RR））对于了解母猪的应激水平和检测分娩的开始是必要的。它有助于最大限度地提高围产期存活率并改善养猪生产中的动物福利。现有的方法主要依赖于人工测量，这是劳动密集型的，并且仅提供几个点的信息。开发了其他传感模式，如可穿戴设备和相机，以实现更连续的测量，但由于动物不适，数据传输和存储挑战，仍然受到限制。在本文中，我们介绍了PigV $^2$，第一个系统，监测猪的心率和呼吸率通过地面振动。我们的方法利用了这样的洞察力，即当母猪躺在地板上时，心跳和呼吸都会产生地面振动。我们通过感知和分析这些振动来推断重要信息。开发PigV $^2$的主要挑战是振动信号中与生命和非生命相关的信息的重叠，包括猪的运动，猪的姿势，猪到传感器的距离，等等。为了解决这个问题，我们首先描述它们的影响，提取它们的当前状态，然后通过自适应插值多个传感器的生命率来减少它们的影响。PigV $^2$通过30只猪的真实部署进行评价。对母猪心率和呼吸的监测平均误差分别为3.4%和8.3%。
英文摘要：
Pig vital sign monitoring (e.g., estimating the heart rate (HR) and respiratory rate (RR)) is essential to understand the stress level of the sow and detect the onset of parturition. It helps to maximize peri-natal survival and improve animal well-being in swine production. The existing approach mainly relies on manual measurement, which is labor-intensive and only provides a few points of information. Other sensing modalities such as wearables and cameras are developed to enable more continuous measurement, but are still limited due to animal discomfort, data transfer, and storage challenges. In this paper, we introduce PigV$^2$, the first system to monitor pig heart rate and respiratory rate through ground vibrations. Our approach leverages the insight that both heartbeat and respiration generate ground vibrations when the sow is lying on the floor. We infer vital information by sensing and analyzing these vibrations. The main challenge in developing PigV$^2$ is the overlap of vital- and non-vital-related information in the vibration signals, including pig movements, pig postures, pig-to-sensor distances, and so on. To address this issue, we first characterize their effects, extract their current status, and then reduce their impact by adaptively interpolating vital rates over multiple sensors. PigV$^2$ is evaluated through a real-world deployment with 30 pigs. It has 3.4% and 8.3% average errors in monitoring the HR and RR of the sows, respectively.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
