Deep Learning for Intelligent Human–Computer Interaction

In recent years, gesture recognition and speech recognition, as important input methods in Human–Computer Interaction (HCI), have been widely used the field of virtual reality. particular, with rapid development deep learning, artificial intelligence, other computer technologies, achieved breakthrough research progress. The search platform this work is mainly Google Academic literature database Web Science. According to keywords related HCI such “intelligent HCI”, “speech recognition”, “gesture “natural language processing”, nearly 1000 studies were selected. Then, 500 selected 100 finally content after five years (2019–2022) year screening. First, current situation intelligent system analyzed, realization interaction voice summarized, advantages brought by learning are for research. core concepts introduced progress analyzed. Furthermore, representative applications described. Finally, direction natural processing investigated. results show that combination deeply applied emotion robot direction. A wide variety proposed fields verified experiments. Compared interactive without high accuracy was achieved. Human–Machine Interfaces (HMIs) support, context plays an role improving user interfaces. Whether it search, mobile communication, or children’s combined can maintain better robustness. convolutional neural networks long short-term memory greatly improve precision action recognition. Therefore, future, application will involve more industries greater prospects expected.