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

TL;DR

This paper presents a smart system integrating force sensors, IoT, and a mobile app to detect and notify users of incorrect sitting postures, aiming to improve health and reduce spinal problems among office workers.

Contribution

It introduces a novel smart chair with force sensors and a mobile app for real-time posture detection and feedback, utilizing IoT and cloud data storage.

Findings

Effective detection of wrong sitting postures using simple sensor rules

Real-time notifications improve user awareness of posture

Data collection enables statistical analysis of sitting habits

Abstract

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.