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Multimodal Fusion Algorithm and Reinforcement Learning-Based Dialog System in Human-Machine Interaction
2020
International Journal on Electrical Engineering and Informatics
Studies on human-machine interaction system show positive results on system development accuracy. However, there are problems, especially using certain input modalities such as speech, gesture, face detection, and skeleton tracking. These problems include how to design an interface system for a machine to contextualize the existing conversations. Other problems include activating the system using various modalities, right multimodal fusion methods, machine understanding of human intentions, and
doi:10.15676/ijeei.2020.12.4.19
fatcat:tun3mqo3a5cn7d5sui7bdd2o6y