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首页> 外文期刊>South African Computer Journal >A Smart Home Environment to Support Risk Monitoring for the Elderly Living Independently
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A Smart Home Environment to Support Risk Monitoring for the Elderly Living Independently

机译：一个智能家居环境，支持独立生活的老年人的风险监测

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摘要

Elderly people prefer to live independently despite being vulnerable to age-related challenges. Constant monitoring is required in cases where the elderly are living alone. The home environment can be a dangerous environment for the elderly due to adverse events that can occur at any time. The potential risks for the elderly living independently can be categorised as injury in the home, home environmental risks, and inactivity due to unconsciousness. The aim of this paper is to discuss the development of a low-cost Smart Home Environment (SHE) that can support risk and safety monitoring for the elderly living independently. An unobtrusive and low cost SHE prototype that uses a Raspberry Pi 3 model B, a Microsoft Kinect Sensor and an Aeotec 4-in-1 Multisensor was designed and implemented. An experimental evaluation was conducted to determine the accuracy with which the prototype SHE detected abnormal events. The results show that the prototype has a mean accuracy, sensitivity and specificity of 94%, 96.92% and 88.93% respectively. The sensitivity shows that the chance of the prototype missing a risk situation is 3.08%, and the specificity shows that the chance of incorrectly classifying a non-risk situation is 11.07%.
机译：尽管老年人容易受到与年龄有关的挑战的影响，但他们还是喜欢独立生活。如果老年人独自一人居住，则需要进行持续监测。由于随时可能发生不良事件，家庭环境可能是老年人的危险环境。老年人独立生活的潜在风险可归类为房屋伤害，家庭环境风险和因意识丧失而无法活动。本文的目的是讨论可以支持独立生活的老年人的风险和安全监控的低成本智能家庭环境（SHE）的开发。设计并实现了使用Raspberry Pi 3 B型，Microsoft Kinect传感器和Aeotec 4合1多传感器的不显眼且低成本的SHE原型。进行了实验评估，以确定原型SHE检测异常事件的准确性。结果表明，该原型的平均准确度，敏感性和特异性分别为94％，96.92％和88.93％。敏感性表明，原型遗漏风险情况的机会为3.08％，而特异性表明，错误分类非风险情况的机会为11.07％。

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