A Novel Feature of Smart Mask: Monitoring and Control System of Respiratory Conditions Using IoT for High-Activity-Person During New Normal Era

During the Covid-19 period, respitory rate monitoring is the main way to know respiratory conditions. However, the use of masks can cause stuffiness for the wearer. Therefore, a smart mask that respiratory rate monitoring was designed based on the difference in the temperature of the breathing, which was read by the LM35 temperature sensor and displayed in the blynk application on the Smartphone. The system is also equipped with a buzzer that will give a warning when breathing conditions are abnormal. In addition to the monitoring system, there is also a humidity control that is the of an exhaust fan actuator to maintain the humidity inside the mask that always adjusts to the setpoint. From the sensor performance test, it was found that the mean error of the LM35 temperature sensors was 3.14%, the DHT11 temperature sensors was 2.7% and the mean error of the DHT11 humidity sensor was 4%. In the respiratory rate measurement prototype, the mean error was 1.87%, and the accuracy of 98.1 %. Meanwhile, testing the fan response to the 84^% RH setpoint, the Error Steady State (ess) was 0% and the Maximum Overshoot (Mp) was 1.19%, which means it is still below the 2% allowed tolerance value. Thus, the control system to be in a steady state.