A new application for real-time monitoring of the lack of movement in older
adults' own homes is proposed, aiming to support people's lives and
independence in their later years. A lightweight camera monitoring system,
based on an RGB-D camera and a compact computer processor, was developed and
piloted in community homes to observe the daily behavior of older adults.
Instances of body inactivity were detected in everyday scenarios anonymously
and unobtrusively. These events can be explained at a higher level, such as a
loss of consciousness or physiological deterioration. The accuracy of the
inactivity monitoring system is assessed, and statistics of inactivity events
related to the daily behavior of the older adults are provided. The results
demonstrate that our method performs accurately in inactivity detection across
various environments, including low room lighting, TV flickering, and different
camera views.

提出了一种新的应用来实时监测老年人自己的居家缺乏运动的情况，旨在支持老年人的生活和独立性。基于 RGB-D 相机和紧凑型计算机处理器的轻量级相机监控系统在社区家庭中进行了开发和试验，以观察老年人的日常行为。匿名和不显眼地检测到了日常情境中的身体静止事件。这些事件可以从更高的层面解释，例如意识丧失或生理恶化。评估了静止监测系统的准确性，并提供了与老年人日常行为相关的静止事件统计数据。结果表明，我们的方法在各种环境下，包括低照明、电视抖动和不同的摄像机视角中准确地进行了静止检测。