近年来随着计算机设备在人们生产生活中的普及，人机交互成为最重要的计算机

In recent years, with the popularization of computer equipment in people's production and life, human-computer interaction has become one of the most important computer application research fields. At the same time, the interaction between humans and computers is becoming more and more diverse, from mouse to multi-touch to somatosensory technology. The current human-computer interaction is mainly based on the interaction mode of external devices such as the mouse and keyboard, and the interaction mode based on the touch screen technology. Although these interaction methods are very mature and can realize the interaction between human and machine well, these traditional human-computer interaction methods mainly rely on data gloves or specific equipment, and have disadvantages such as inconvenience to wear, expensive, and low accuracy. , And can not fully release the operating ability of the hand. Therefore, more and more researchers have begun to study non-contact human-computer interaction based on vision, by using cameras to capture human hand movements, recognize the meaning of gestures, and realize human-machine interaction. This will not only improve the user experience of the gesture recognition system, but also promote the application of gesture recognition technology in daily life. <br>This article is based on STM32 single-chip microcomputer as the control core, composed of PAJ7620 sensor, OLED display, and voice broadcast module. The gesture recognition multifunctional system is mainly used by the PAJ7620 gesture sensor to recognize the original data of the detected target characteristics through the recognition of different gestures, and then recognize the original data, and finally store the gesture results in the register, and recognize the original data and gestures according to the IIC interface The results are read, processed and analyzed by the STM32F401RBT6 main control chip to identify different gestures, and then display the gesture information and the effect of the drive carrier to make different responses on the OLED screen.

In recent years, with the popularity of computer equipment in people's production and life, human-computer interaction has become one of the most important fields of computer application research. At the same time, the way people interact with computers is becoming more and more diverse, from mouse to multi-touch to body-sensing technology. The current human-computer interaction is mainly based on the mouse, keyboard and other external devices interaction and touch screen technology-based interaction. Although these interactions are well-developed to enable human-machine interaction, these traditional human-computer interactions rely primarily on data gloves or specific devices, with the disadvantages of inconvenient wear, high cost and low accuracy, and do not fully release the hand's operational power. Therefore, more and more researchers began to study visual-based non-contact human-computer interaction, by using the camera to capture the human hand activity, recognize the meaning of gestures, to achieve human-machine interaction. This will not only improve the user experience of gesture recognition system, but also promote the application of gesture recognition technology in daily life.<br>Based on STM32 tablet as the control core, this paper consists of PAJ7620 sensor, OLED display, and voice broadcast module. Gesture recognition multi-functional system is mainly by the PAJ7620 gesture sensor through the recognition of different gesture movements, to obtain the original data of the detection target features, and then the original data recognition processing, and finally the gesture results stored in the register, according to the IIC interface to read the original data and gesture recognition results, by the STM32F401RBT6 master chip processing and analysis, so as to identify different gestures, and then display the gesture information and drive carrier on the OLED screen to make different response effects.

In recent years, with the popularity of computer equipment in people's production and life, human-computer interaction has become one of the most important computer application research fields. At the same time, the interaction between human and computer is becoming more and more diversified, from mouse to multi touch to somatosensory technology. At present, human-computer interaction is mainly based on mouse, keyboard and other external devices and touch screen technology. Although these interaction methods have been very mature, and can well realize the interaction between human and machine, these traditional human-computer interaction methods mainly rely on data gloves or specific devices, which have the disadvantages of inconvenient wearing, expensive price and low accuracy, and can not fully release the operation ability. Therefore, more and more researchers begin to study non-contact human-computer interaction based on vision. By using the camera to capture human hand activities, recognize the meaning of gestures, and realize the interaction between human and machine. This can not only improve the user experience of gesture recognition system, but also promote the application of gesture recognition technology in daily life.<br>Based on STM32 microcontroller as the control core, this paper is composed of paj7620 sensor, OLED display screen and voice broadcast module. The multi-function system of gesture recognition mainly uses paj7620 gesture sensor to obtain the original data of detection target characteristics through the recognition of different gesture actions, and then processes the original data for recognition. Finally, the gesture results are stored in the register, and the original data and gesture recognition results are read according to the IIC interface, which is processed by stm32f401rbt6 The main control chip processes and analyzes the gesture to recognize different gestures, and then displays the gesture information on the OLED screen and drives the carrier to make different responses.