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

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应用研究领域之一。同时人与计算机之间的交互方式也愈来愈多样化，从鼠标到多点触控再到体感技术。当前人机交互主要是基于鼠标、键盘等外部设备的交互方式和基于触摸屏技术的交互方式。 尽管这些交互方式已经非常成熟，能很好地实现人与机器之间的交互，但是这些传统的人机交互方式主要依赖于数据手套或特定设备，具有穿戴不便、价格昂贵以及准确率低等缺点，并不能完全释放手的操作能 力。因此，越来越多的研究者开始研究基于视觉的非接触式人机交互，通过利用 摄像头扑捉到人的手部活动，识别手势的含义，实现人与机器的交互。这不仅能提高手势识别系统的用户体验，而且也将促进手势识别技术在日常生活中的应用。<br>本文基于STM32单片机作为控制核心，由PAJ7620传感器，OLED显示屏，以及语音播报模块构成。手势识别多功能系统主要由 PAJ7620 手势传感器通过不同手势动作的识别，获取探测目标特征原始数据，再对原始数据进行识别处理，最后将手势结果存到寄存器中，根据 IIC 接口对原始数据和手势识别的结果进行读取，由 STM32F401RBT6 主控芯片处理和分析，从而来识别不同手势，进而在 OLED 屏上显示出手势的信息和驱动载体作出不同响应的效果。

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应用研究领域之一。 同时人与计算机之间的交互方式也愈来愈多样化，从鼠标到多点触控再到体感技术。 当前人机交互主要是基于鼠标、键盘等外部设备的交互方式和基于触摸屏技术的交互方式。 尽管这些交互方式已经非常成熟，能很好地实现人与机器之间的交互，但是这些传统的人机交互方式主要依赖于数据手套或特定设备，具有穿戴不便、价格昂贵以及准确率低等缺点，并不能完全释放手的操作能 力。 因此，越来越多的研究者开始研究基于视觉的非接触式人机交互，通过利用 摄像头扑捉到人的手部活动，识别手势的含义，实现人与机器的交互。 这不仅能提高手势识别系统的用户体验，而且也将促进手势识别技术在日常生活中的应用。<br>本文基于STM32单片机作为控制核心，由PAJ7620传感器，OLED显示屏，以及语音播报模块构成。 手势识别多功能系统主要由 PAJ7620 手势传感器通过不同手势动作的识别，获取探测目标特征原始数据，再对原始数据进行识别处理，最后将手势结果存到寄存器中，根据 IIC 接口对原始数据和手势识别的结果进行读取，由 STM32F401RBT6 主控芯片处理和分析，从而来识别不同手势，进而在 OLED 屏上显示出手势的信息和驱动载体作出不同响应的效果。

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.<br>