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Gesture recognition is based on human hand movements.In industrial production,controlling robot motion through gestures can simplify the teaching process and operation process of the robot,and has great application value.Today,the most prominent research methods in the field of gesture recognition include glove-based recognition and recognition using visual information.The identification method of using gloves mainly uses optical fibers to obtain the joint positions and bending degrees of palms and fingers and model them.The vision-based recognition method refers to obtaining the gesture visual image from the camera,performing a series of algorithm processing,and identifying and obtaining the result.

手势识别是基于人的手部动作完成的，工业生产中，通过手势控制机器人运动，可简化机器人的示教过程与操作流程，具有很大的应用价值。现今，在手势识别领域最为突出的研究方法包括基于手套进行识别以及使用视觉信息进行识别。使用手套的识别方法主要是使用光纤等获取手掌、手指的关节位置以及弯曲程度并建模。基于视觉的识别方法是指从相机获取手势视觉图像进行一系列算法处理，进行识别获取结果。