机械臂手势识别技术的研究及应用  

Research and Application of Robotic Arm Gesture Recognition Technology

作　　者：张紫轩 项阳 童安科 牟奇杰 陈思明 

机构地区：[1]上海工程技术大学机械与汽车工程学院,上海201620 [2]上海工程技术大学电子电气工程学院,上海201620

出　　处：《工业控制计算机》2023年第12期61-63,共3页Industrial Control Computer

摘　　要：随着计算机硬件技术的不断进步和深度学习技术的广泛应用,近年来手势识别技术的研究也有了新的进步。对手势识别技术、Leap Motion概况、特点等进行阐述,并通过搭建实验平台设计了基于Leap Motion的非接触式人机交互机械臂系统,将手势动作与手掌位置信息动态地反映到实体机械臂,进而控制机械臂实现抓取、移动等动作。实验表明基于Leap Motion的非接触式人机交互机械臂控制具有较高的准确性和稳定性,可以为实际应用提供一种新型的控制方式。With the continuous advancement of computer hardware technology and the wide application of deep learning technology,the research of gesture recognition technology has also made new progress in recent years.The gesture recognition technology,Leap Motion overview,characteristics,etc.are elaborated,and a non-contact human-computer interaction robotic arm system based on Leap Motion is designed by building an experimental platform,which dynamically reflects the gesture action and palm position information to the physical robotic arm,and then controls the robotic arm to grasp,move and other actions.Experiments show that the non-contact human-computer interaction robotic arm control based on Leap Motion has high accuracy and stability,which can provide a new control method for practical applications.

关 键 词：Leap Motion 手势识别 机械臂 人机交互 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP241[自动化与计算机技术—计算机科学与技术]