Recently, there have been numerous studies to utilize processed data of five human emotional data. The utilization of emotional data in Internet of Things (IoT) environment is actively pursued to apply it to device. AERLT model by this study is developed to provide location tracking system more efficient than the current system by receiving human voice in the IoT environment, extracting its features, and categorizing into normal or sad emotions. In addition, the AER-LT model provides the user location within a small margin of error by utilizing GPS and Bluetooth Low Energy (BLE).
*ITRC 기여율=1