Disclosed is a human emotion estimation method using a deep physiological emotion network for human emotion recognition and a system thereof. According to an embodiment of the present invention, the human emotion estimation method comprises the steps of: obtaining a physiological signal of a user; learning a network with the obtained physiological signal as an input by using a time margin-based classification loss function that considers time margins when learning is performed along a time axis; and estimating the emotion of the user through the learning of the network using the time margin-based classification loss function.
Method for estimating human emotions using deep psychological affect network and system therefor