论文标题
基于力传感器和移动应用的智能系统坐姿检测
A Smart System for Sitting Posture Detection Based on Force Sensors and Mobile Application
论文作者
论文摘要
员工的健康和福祉是我们快速发展的世界中的一个实际话题。当员工遇到不同的健康问题而无法工作时，雇主会损失钱。主要问题是坐在办公室椅子上的坐姿不佳引起的脊柱疼痛。本文介绍了用于检测不正确坐姿的系统的建议和实现。智能椅子有六个灵活的力传感器。基于Arduino的物联网节点（IoT）节点将这些传感器连接到系统中。该系统检测到错误的座位位置并通知用户。事先，我们开发了一个移动应用程序来接收这些通知。用户会获得有关坐姿和其他统计数据的反馈。我们定义了处理传感器数据以识别错误的坐姿姿势的简单规则。智能椅的数据是通过QNAP的私有云解决方案收集的，并存储在MongoDB数据库中。我们将节点红色应用程序用于整个逻辑实现。
The employees health and wellbeing are an actual topic in our fast-moving world. The employers losing money when their employees suffer from different health problems and cannot work. The major problem is the spinal pain caused by the poor sitting posture on the office chair. This paper deals with the proposal and realization of the system for the detection of incorrect sitting positions. The smart chair has six flexible force sensors. The Internet of Things (IoT) node based on Arduino connects these sensors into the system. The system detects wrong seating positions and notifies the users. In advance, we develop a mobile application to receive those notifications. The user gets feedback about sitting posture and additional statistical data. We defined simple rules for processing the sensor data for recognizing wrong sitting postures. The data from smart chairs are collecting by a private cloud solution from QNAP and are stored in the MongoDB database. We used the Node-RED application for whole logic implementation.
