No abstract

Nowadays, diseases caused by posture disorders are becoming more common. This situation reduces the working efficiency of people, especially computer users. This study aims to provide prevention of diseases caused by posture disorders faced by computer users and realize an application software to reduce disease risks. With this realized application, computer users’ movements are monitored through the camera, and the situations that may pose a risk of disease for the users are determined. Realized application software is a decision support system. This decision support system provides users suggestions to change their position according to their instant postures and supports them to work more efficiently. The user data is collected by processing the images taken from a camera using the developed computer vision algorithm. Two-dimensional (2D) human exposure estimation is performed with the obtained data. The situations that can decrease the working efficiency are specified with the data obtained from exposure estimation using the developed model. As a result of these findings, increasing the working efficiency is provided by informing the user in real-time about the situation that may decrease the working efficiency.