A Smart System for Sitting Posture Detection Based on Force Sensors and Mobile Application

被引：28

作者：

Matuska, Slavomir ^{[1
]}

Paralic, Martin ^{[1
]}

Hudec, Robert ^{[1
]}

机构：

[1] Univ Zilina, Fac Elect Engn & Informat Technol, Dept Multimedia & Informat Commun Technol, Zilina 01008, Slovakia

来源：

MOBILE INFORMATION SYSTEMS | 2020年 / 2020卷

基金：

欧盟地平线“2020”;

关键词：

The employees' health and well-being are an actual topic in our fast-moving world. Employers lose 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 collected by a private cloud solution from QNAP and are stored in the MongoDB database. We used the Node-RED application for the whole logic implementation. © 2020 Slavomir Matuska et al;

D O I：

10.1155/2020/6625797

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The employees' health and well-being are an actual topic in our fast-moving world. Employers lose 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 collected by a private cloud solution from QNAP and are stored in the MongoDB database. We used the Node-RED application for the whole logic implementation.

引用

页数：13