Gesture Based Wireless Single-Armed Robot in Cartesian 3D Space Using Kinect

Memon Md Farhan Md Fareed, Quraishi Imran Akram, Shaikh Bilal Ahmed Anees, A. Fakih
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引用次数: 4

Abstract

Human Machine Interaction (HMI) has always played an important role in everybody's life motivating research in the area of intelligent service robots. Conventional methods such as remote controllers or wearables cannot cater the high demands in some scenarios. To overcome this situation, the challenge is to develop vision-based gesture recognition techniques. This paper describes our work of controlling an Arduino based wheeled, one armed robot, used as a prototype, controlled through various gestures of the arms and legs. For gesture recognition, we make use of skeletal tracing ability of Kinect -- a product of Microsoft. Bluetooth is used to make the controls wireless. Since it is not line of sight operation, the robot also captures the environment video and transmits it over radio frequency in real-time and displayed on the screen. On the user end, according to the received video, the operator guides the robot and uses the arm to pick and place objects with the help of predetermined gestures.
基于手势的无线单臂机器人在直角三维空间使用Kinect
人机交互(HMI)一直在人们的生活中扮演着重要的角色,激励着智能服务机器人领域的研究。传统的方式,如遥控器或可穿戴设备,无法满足某些场景的高要求。为了克服这种情况,挑战在于开发基于视觉的手势识别技术。本文描述了我们控制一个基于Arduino的轮式单臂机器人的工作,作为一个原型,通过手臂和腿的各种手势来控制。在手势识别方面,我们利用了微软产品Kinect的骨骼追踪功能。蓝牙是用来实现无线控制的。由于它不是视线操作,机器人还捕获环境视频,并通过无线电频率实时传输并显示在屏幕上。在用户端,根据接收到的视频,操作员引导机器人,并使用手臂在预定手势的帮助下拾取和放置物体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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