使用手势的实时机械臂控制

B. GaneshChoudhary, B. ChethanRam
{"title":"使用手势的实时机械臂控制","authors":"B. GaneshChoudhary, B. ChethanRam","doi":"10.1109/ICHPCA.2014.7045349","DOIUrl":null,"url":null,"abstract":"In this paper we propose a way to accomplish Human Computer Interface absolutely in electronic way (without mechanical sensors). The idea is to extirpate old techniques of controlling Robotic arm using joysticks, buttons and supersede with more intuitive technique ie., to control robotic arm by hand motion or gesture. Here we propound an approach to achieve the aforementioned idea employing Image processing technique using web camera. We detect the vital features of hand: fingers by computational geometry calculation enabling real time interaction between hand gestures and Robot. Our system can meticulously locate fingers even when fore-arm is involved. And the system can sustain a certain rotation of palm and fore-arm, which augments the freedom of use in palm center estimation.","PeriodicalId":6469,"journal":{"name":"2014 International Conference on High Performance Computing & Simulation (HPCS)","volume":"3 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Real time robotic arm control using hand gestures\",\"authors\":\"B. GaneshChoudhary, B. ChethanRam\",\"doi\":\"10.1109/ICHPCA.2014.7045349\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a way to accomplish Human Computer Interface absolutely in electronic way (without mechanical sensors). The idea is to extirpate old techniques of controlling Robotic arm using joysticks, buttons and supersede with more intuitive technique ie., to control robotic arm by hand motion or gesture. Here we propound an approach to achieve the aforementioned idea employing Image processing technique using web camera. We detect the vital features of hand: fingers by computational geometry calculation enabling real time interaction between hand gestures and Robot. Our system can meticulously locate fingers even when fore-arm is involved. And the system can sustain a certain rotation of palm and fore-arm, which augments the freedom of use in palm center estimation.\",\"PeriodicalId\":6469,\"journal\":{\"name\":\"2014 International Conference on High Performance Computing & Simulation (HPCS)\",\"volume\":\"3 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on High Performance Computing & Simulation (HPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICHPCA.2014.7045349\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHPCA.2014.7045349","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

摘要

本文提出了一种完全以电子方式(无机械传感器)实现人机界面的方法。这个想法是为了消除使用操纵杆、按钮控制机械臂的旧技术,代之以更直观的技术。,通过手部动作或手势控制机械臂。本文提出了一种利用网络摄像机的图像处理技术来实现上述思想的方法。我们通过计算几何计算来检测手的重要特征:手指,从而实现手势和机器人之间的实时交互。我们的系统可以精确地定位手指,即使是在前臂受伤的时候。该系统可以维持手掌和前臂的一定旋转,增加了手掌中心估计的使用自由度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Real time robotic arm control using hand gestures
In this paper we propose a way to accomplish Human Computer Interface absolutely in electronic way (without mechanical sensors). The idea is to extirpate old techniques of controlling Robotic arm using joysticks, buttons and supersede with more intuitive technique ie., to control robotic arm by hand motion or gesture. Here we propound an approach to achieve the aforementioned idea employing Image processing technique using web camera. We detect the vital features of hand: fingers by computational geometry calculation enabling real time interaction between hand gestures and Robot. Our system can meticulously locate fingers even when fore-arm is involved. And the system can sustain a certain rotation of palm and fore-arm, which augments the freedom of use in palm center estimation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
AI4IO: A Suite of Ai-Based Tools for IO-Aware HPC Resource Management Improving Efficiency and Performance Through Faster Scheduling Mechanisms Towards an Integral System for Processing Big Graphs at Scale Advances in High Performance Computing - Results of the International Conference on "High Performance Computing", HPC 2019, Borovets, Bulgaria, September 2-6, 2019 Role of HPC in next-generation AI
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1