Authors:
K. N. V. Suresh Varma, K. R. N. S. Prasanth, M. Sravanthi, G. Soma Subhash, K. Venkata Ramana, Dilli Kasi Rao Kotha
Addresses:
Department of Electronics and Communications Engineering, S. R. K. R. College of Engineering (Autonomous), Bhimavaram, Andhra Pradesh, India. Faculty of Engineering, Environment and Computing, Coventry University, Coventry, England, United Kingdom.
Abstract:
In the current digital age of technology, excessive sitting, sustained computer use, and smartphone usage have all greatly contributed to heightening posture-related health problems in students and working individuals today. This increases muscle tension, spinal misalignment and reduced productivity and has triggered chronic musculoskeletal problems as a result. There are now diverse ways to improve users' postures, but they are not affordable, responsive or easy to use in real time with the right posture-monitoring and correction technology. In this paper, researchers discuss an AI-connected smart monitoring system for posture and muscle strain prevention, developed on an ESP32 microcontroller and an MPU9250 inertial measurement unit (IMU) that measures body motion using accelerometer, gyroscope and magnetometer sensors. To reduce noise and improve real-time posture angle estimates, a complementary sensor-fusion technique using filters is used. The estimated tilt angle identifies good, minor deviation, and terrible posture. To avoid misleading perceptions from quick movement, it validates results in real time. LEDs and a buzzer help users improve posture in real time. ESP32 supports a web-based dashboard that dynamically displays posture, angles, and graphical trends without a backend server. Experimental results showed that, with improved stability and performance, this method can detect posture and could be used for health monitoring, physiotherapy, office ergonomics, and daily life improvement.
Keywords: Posture Monitoring; ESP32 and MPU9250; Sensor Fusion; IoT and Inertia Measurement Unit; Wearable Systems; Healthcare Monitoring; Spinal Misalignment; Magnetometer Sensor.
Received on: 15/03/2025, Revised on: 02/05/2025, Accepted on: 07/07/2025, Published on: 01/03/2026
DOI: 10.64091/ATIIR.2026.000276
Ave Trends in Intelligent Informatics Reports, 2026 Vol. 1 No. 1 , Pages: 1–13