With the increasing demand for the performance and security of communication networks, the fifth-generation mobile technology has developed rapidly and has attracted unprecedented attention. At the same time, this article analyzes the current research status of visual gesture recognition and human-computer interaction based on the Internet of Things. In view of the current shortcomings of gesture recognition, this article proposes a solution that involves using Biaonect somatosensory sensors to recognize gestures and explore human-computer interaction. Then, we analyze how the Kinea somatosensory sensor works to obtain depth images, study the method of obtaining gesture positions and joint points based on the depth information, and combine the depth information and the skin color model to create a three-dimensional image of the gesture simulation. With the rapid development of China’s tourism industry, China’s hotel industry has entered an era, in which domestic and foreign competitors coexist in the hotel industry. The development of hotels urgently needs high-quality hotel professionals who have received professional training and are familiar with hotel management. In hotel management teaching, human-computer interactive learning can effectively improve learning interest. In this paper, the structure of the human-computer interaction system based on gesture recognition is established, which can effectively improve the recognition accuracy and is of great significance in the hotel management teaching system.

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