Efficient Hand Gesture Recognition for Traffic Control System Using ti Sensor Tag

Gandluri Yasmeen, S. Arun, J. N. Swaminathan, S. Jilani, S. Asif
{"title":"Efficient Hand Gesture Recognition for Traffic Control System Using ti Sensor Tag","authors":"Gandluri Yasmeen, S. Arun, J. N. Swaminathan, S. Jilani, S. Asif","doi":"10.1109/ICCCI.2018.8441483","DOIUrl":null,"url":null,"abstract":"In this paper, we are describing the hand gesture recognition mechanism using the accelerometer values of the TI Sensor Tag for controlling the Traffic lights. The TI Sensor Tag is aBLE (Bluetooth Low Energy) device which consumes very low power during its operation and it uses single coin battery for months of life. It uses the Bluez Library for reading the data from different sensors of Sensor Tag. Now-a-days the traffic on the road has been increasing drastically due to increase in number of vehicle users. On the other hand the simple time based traffic control system is not sufficient for controlling the uneven traffic on the roads during peak hours, which calls for a new Traffic control system. The gesture technology has become very popular for HMI (Human Machine Interface), which provides a virtual environment for controlling devices by giving Gestures. Here we used the Ti Sensor Tag for Hand Gesture Recognition.","PeriodicalId":141663,"journal":{"name":"2018 International Conference on Computer Communication and Informatics (ICCCI)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computer Communication and Informatics (ICCCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCI.2018.8441483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In this paper, we are describing the hand gesture recognition mechanism using the accelerometer values of the TI Sensor Tag for controlling the Traffic lights. The TI Sensor Tag is aBLE (Bluetooth Low Energy) device which consumes very low power during its operation and it uses single coin battery for months of life. It uses the Bluez Library for reading the data from different sensors of Sensor Tag. Now-a-days the traffic on the road has been increasing drastically due to increase in number of vehicle users. On the other hand the simple time based traffic control system is not sufficient for controlling the uneven traffic on the roads during peak hours, which calls for a new Traffic control system. The gesture technology has become very popular for HMI (Human Machine Interface), which provides a virtual environment for controlling devices by giving Gestures. Here we used the Ti Sensor Tag for Hand Gesture Recognition.
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
基于ti传感器标签的交通控制系统高效手势识别
在本文中,我们描述了使用TI传感器标签的加速度计值来控制交通灯的手势识别机制。TI传感器标签是aBLE(低功耗蓝牙)设备,在其运行过程中消耗非常低的功率,它使用单个硬币电池长达数月的寿命。它使用Bluez库从传感器标签的不同传感器读取数据。如今,由于车辆使用者数量的增加,道路上的交通急剧增加。另一方面,简单的基于时间的交通控制系统不足以控制高峰时段道路上的不均匀交通,这需要一种新的交通控制系统。手势技术在人机界面(HMI)中非常流行,它通过手势提供一个虚拟环境来控制设备。在这里,我们使用Ti传感器标签进行手势识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Critical review of machine learning approaches to apply big data analytics in DDoS forensics Detection of the effect of exercise on APG signals Categorisation of security threats for smart home appliances Rotation-based LTE downlink resource scheduling using queue status monitoring Design and Analysis of Booth Multiplier with Optimised Power Delay Product
×
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