Design and Implementation of Software and Angle Calibration System for an ESP32-Based Portable Digital Scoliometer

Sony Subagyo; Bagus Adhi Kusuma

doi:10.59934/jaiea.v5i3.2420

Authors

Sony Subagyo Universitas Amikom Purwokerto
Bagus Adhi Kusuma Universitas Amikom Purwokerto

DOI:

https://doi.org/10.59934/jaiea.v5i3.2420

Keywords:

Scoliosis, Digital Scoliometer, ESP32, Kalman Filter, Internet of Things

Abstract

Scoliosis is a spinal deformity characterized by an abnormal lateral curvature of the spine and requires accurate early detection to prevent further complications. Conventional scoliometers are still widely used for initial screening; however, manual measurements often face limitations in reading precision and data recording efficiency. This study aims to design software and an angle calibration system for a portable digital scoliometer based on the ESP32 microcontroller. The developed system utilizes an MPU6050 sensor to detect trunk rotation angle, an LCD module as a display interface, and wireless communication for data transmission. The software implementation includes sensor data acquisition, angle processing using the Kalman Filter method, automatic zero-point calibration, battery monitoring, and communication with a web-based server through a RESTful API. The calibration system is designed to reduce initial offset errors and improve measurement stability. Testing results indicate that the system is capable of displaying angle measurements in real time, operating responsively, and transmitting data successfully to the server. The implemented calibration method also improves consistency and reliability of angle readings. Therefore, the developed portable digital scoliometer can serve as an effective solution for supporting scoliosis screening in a more practical and digitalized manner

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