Human Emotion Recognition in Video Data Using Deep Learning Frameworks

Human emotion recognition is a crucial application in human-computer interaction (HCI). This task is done using facial expressions as main modality. This work focuses on recognition of facial emotion expressions in video sequences and proposes an integrated and hybrid deep learning frameworks. Reasonable interaction is the basic form of interaction; it exists in social interaction, role interaction and symbolic interaction, interactive mode and has its particularity. The reason is the subject consciousness of autonomous interaction based on equality and full democratic conditions, because the main body needs and beliefs, purpose and value driven, between the main bodies in the subject. Between the main body and the social, emotional, attitude, a series of interactive response or change process of cognition and behavior. The structure of Ideological and political education reason interaction mechanism mainly from the sense of Ideological and political education interaction, process and mode, environment and other aspects of the ideological and political education structure is the main reason of interactive behavior, emotion, the cognitive nodes, multiple structure transmit information through language or symbols such as the ideological and political education; reasonable interaction process is in a certain environment, because of the need. There will be a series of patterns to interact with each other, and then interact with each other in order to form a series of patterns.