OFFIS-Institute for Information Technology, Escherweg 2, Oldenburg, Germany.
Inform Health Soc Care. 2010 Sep-Dec;35(3-4):157-76. doi: 10.3109/17538157.2010.528637.
In this article, the design of a system for the ambient, unobtrusive and automatic monitoring of Activities of Daily Living (ADL) is described. In the context of the growing imbalance between (potentially young) caregivers and (most often older) people receiving care, technical monitoring systems may help to organise care more efficiently and to identify degrading abilities very early to trigger preventive measures. To improve the acceptance of the system described in this article, the selection process of the sensors to be integrated into the flat or to be worn by the older people has been steered by the results of focus group interviews with older people, their relatives and professional caregivers. The interviews revealed that these people would in general accept such systems, but security, mobility and communication aspects have to be clearly and appropriately addressed. In an experimental study the recognition rate of the activity 'preparation and intake of food or beverages' has been measured with two age groups (6 subjects, age between 25 and 40/mean 30 years and 5 subjects, age between 72 and 84/mean 75.3 years). The food preparation was detected with a sensitivity of 74.7% and a specificity of 84.2% using a vision sensor.
本文描述了一种用于日常活动（ADL）环境、非侵入式和自动监测的系统设计。在（潜在的年轻）护理人员和（通常是年长的）接受护理的人员之间日益失衡的背景下，技术监测系统可能有助于更有效地组织护理，并尽早发现能力下降，从而采取预防措施。为了提高本文所描述系统的接受程度，已经通过与老年人、他们的亲属和专业护理人员进行焦点小组访谈的结果来指导要集成到平板中的传感器或要让老年人佩戴的传感器的选择过程。访谈表明，这些人通常会接受此类系统，但必须明确和适当地解决安全、移动性和通信方面的问题。在一项实验研究中，使用两个年龄组（25 至 40 岁的 6 名受试者，平均年龄 30 岁和 72 至 84 岁的 5 名受试者，平均年龄 75.3 岁）测量了“准备和摄入食物或饮料”这一活动的识别率。使用视觉传感器，食物准备的检测灵敏度为 74.7%，特异性为 84.2%。
