Development and Preliminary Bench Evaluation of a Low-Cost ESP32-Based Hand Movement Monitoring System

This technical report presents the development and preliminary bench testing of a low-cost ESP32-based hand movement monitoring system for biomedical engineering research. The prototype integrates an inertial motion sensor, an OLED display, a DHT11 temperature and humidity sensor, and a wireless web dashboard. The system provides real-time pitch, roll, angular speed, an exploratory oscillation-frequency estimate, software-based repetition counting, graphical visualization, and CSV data logging. Initial breadboard-based testing demonstrated responsive movement tracking and wireless data collection. A recorded CSV export containing 241 observations was analyzed, with a maximum observed angular speed of 282.65 degrees per second. Additional movement and repetition checks were reported by the developer, although their exact reference measurements were not preserved. The results support the feasibility of the prototype for preliminary hand movement monitoring. Reference-standard measurement accuracy, exercise-counting accuracy, and clinical performance have not been established. This work is an independent preliminary engineering study and is not intended for medical diagnosis. Generative AI tools assisted with programming, data analysis, and manuscript preparation.