It is a problem that the poor gait function of many elderly people affects their activities of daily living (ADL), and deteriorates their quality of life (QoL). To enhance rehabilitation of the gait function, it is desirable to increase the amount of training received. In this research, we develop a measurement system for a gait training device that enables effective rehabilitation using the internet of things (IoT) and measurement technology proactively, which aims to realize gconstant rehabilitation h by considering ADL (except training time) as rehabilitation. We propose an IoT measurement system model that classifies each function of the IoT system in a hierarchical structure to promote systematic development more efficiently. Based on this model, we (1) modularize a device for measuring the upper limb load, acceleration, and gait distance, (2) develop a device for presenting the target value of rehabilitation visually to the user using the internet, and (3) implement the model on a commercial rolling stand-up walker and gait training device. We confirm that we can obtain excellent measurements using each mounted module.

中文翻译：

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关于基于层的物联网构建方法及其在站立式步行步行者中的实现和评估的提案

一个问题是，许多老年人步态不佳会影响他们的日常生活（ADL），并降低他们的生活质量（QoL）。为了增强步态功能的康复，期望增加接受的训练量。在这项研究中，我们开发了一种用于步态训练设备的测量系统，该系统可主动使用物联网（IoT）和测量技术进行有效的康复，旨在通过将ADL（训练时间除外）视为康复来实现持续的康复。我们提出了一种物联网测量系统模型，该模型以分层结构将物联网系统的每个功能分类，以更有效地促进系统开发。基于此模型，我们（1）将用于测量上肢负荷，加速度和步态距离的设备模块化，（2）开发一种设备，用于通过互联网向用户直观地显示康复目标值；（3）在商用滚动站立式步行器和步态训练设备上实施该模型。我们确认，使用每个已安装的模块都可以获得出色的测量结果。