Title: Intelligent Posture Detection and Monitoring System
Authors: Arnoor Husein Saadi, Pendo Ramadhan Issa, Eliud Malakatete, Mr. Lusekelo Kibona
Volume: 9
Issue: 7
Pages: 59-67
Publication Date: 2025/07/28
Abstract:
This paper presents the design and development of an Intelligent Posture Detection and Monitoring System (IPDMS) aimed at promoting healthier sitting habits. By utilizing pressure sensors, Arduino microcontrollers, and a mobile interface, the system provides real-time feedback and data logging to encourage users to maintain ergonomic postures. The integration of machine learning techniques ensures accurate posture classification, with results showing increased user awareness and comfort.