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首页> 外文期刊>Journal of ambient intelligence and smart environments >Capacitive indoor positioning and contact sensing for activity recognition in smart homes
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Capacitive indoor positioning and contact sensing for activity recognition in smart homes

机译：电容式室内定位和接触感应，可用于智能家居中的活动识别

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摘要

In smart homes, unobtrusive monitoring of User position and activity are important but challenging tasks. With the current state of technology, this task is especially hard to carry out in private areas where video surveillance is considered undesirable or even offensive. Even though some alternative methods for passive and unobtrusive monitoring of people have been proposed in the past, we still do not have a simple method that could be used to measure user position and activities as a single practical solution. To fulfill this need, this paper presents a single privacy-preserving method to measure user position and activity which can easily be adapted to measure the subject's height and posture as well. The system proposed in this paper can locate a person at floor level and monitor the subject's interaction with common household items such as a bed, sofa, table or refrigerator. The measurement method is based on the conductivity of the human body and on capacitive coupling of low-frequency signals between electrodes embedded in the floor and the in the environment. A test system was built for the TUT Smart Home and was evaluated with multiple test subjects, including a two-week-long living test to show the system's potential in long-term monitoring applications. The results show that a standing person can be positioned to within either 7 or 11-cm accuracy at a 90% confidence level using 30 x 30-cm and 60 x 60-cm-sized transmitting floor electrodes, respectively. For people walking, the respective accuracies are 17 and 33 cm. According to the long-term test results, the interactions with the environment were detected accurately. All the test data from this long-term living test, including the person's position, contact with common household items as well as the user annotations, have been made public and are available for download.
机译：在智能家居中，对用户的位置和活动进行不显眼的监视非常重要，但是具有挑战性。在目前的技术水平下，在视频监视被认为是不受欢迎甚至令人反感的私人区域中，尤其难以执行此任务。尽管过去已经提出了一些用于对人进行被动和不干扰监视的替代方法，但是我们仍然没有一种简单的方法可以作为单个实用的解决方案来测量用户的位置和活动。为了满足这一需求，本文提出了一种单一的隐私保护方法来测量用户的位置和活动，该方法也可以轻松地用于测量对象的身高和姿势。本文提出的系统可以将一个人放在地板上，并监视对象与诸如床，沙发，桌子或冰箱的普通家庭用品的互动。该测量方法基于人体的电导率以及嵌入地板和环境中的电极之间低频信号的电容耦合。为TUT Smart Home构建了一个测试系统，并针对多个测试对象进行了评估，其中包括为期两周的现场测试，以显示该系统在长期监控应用中的潜力。结果表明，站立的人可以分别使用30 x 30 cm和60 x 60 cm尺寸的发射底板电极以90％的置信度定位在7厘米或11厘米精度范围内。对于行走的人，相应的精度分别为17厘米和33厘米。根据长期测试结果，可以准确地检测到与环境的相互作用。这项长期生活测试的所有测试数据，包括该人的位置，与常见家庭物品的接触以及用户注释，都已公开并可以下载。

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