Mouse operation data collection automation system using ESP32 and AppInventer

Abstract

Frozen shoulder is also known as fifty-year-old shoulder in Taiwan. As the name suggested, the incidence of the syndrome has higher probability of occurrences in fifties or older. However, as working hours become longer, the chances of suffering from the insidious onset of diffusing pain is greater. Especially for workers who have been sitting in front of computers and using mouse for a long period of times without any exercises. This painful shoulder syndrome associated with working men happens more often than those of average persons. The paper applies IoT methodologies connecting a simple sensor to control the mouse usage and monitoring rehabilitation actions of the workers. The aggregated data are integrated into a database. Therefore, doctors can review the mouse usages and rehabilitation records at any moment. According to the data, doctors can diagnose promptly to reduce the incidence of Frozen shoulder or improve the condition of the symptom for the workers.