Research on Gesture Recognition Technology Methods
Along with the rapid development of computer hardware and software in recent years,virtual reality,augmented reality and other technologies have emerged one after another,and the communication and interaction between humans and machines have become closer.Human-Computer Interaction(HCI)technology,as an important communication bridge between humans and machines,new methods and new presentations are urgently needed to find new technologies to facilitate the communication and interaction between humans and machines.The birth of gesture recognition technology provides new ideas for human-computer interaction and breaks through the technical bottleneck from command line to graphical user interface and then to a higher level of development.Gesture recognition technology involves a number of subject areas,including computer vision,pattern recognition,machine learning and so on.It is able to understand the intention that human beings want to express by analyzing human hand movements,and can be used in a variety of fields,including human-computer interaction,virtual reality,intelligent monitoring,medical assistance,and gaming and entertainment.In this paper,we sort out the development history of gesture recognition technology,describe the sensor-based and computer vision-based gesture recognition technology,organize the commonly used gesture recognition datasets,enumerate the application areas of gesture recognition technology,put forward the problems of gesture recognition technology,and finally make a systematic summary and outlook on gesture recognition technology.
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