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

• Main Authors: Slavomir Matuska, Martin Paralic, Robert Hudec
• Format: Article
• Language: English
• Published: Hindawi Limited 2020-01-01
• Series: Mobile Information Systems
• Online Access: http://dx.doi.org/10.1155/2020/6625797

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.