基于IMU的手部跟踪研究

Takuma Miyazaki, Yuhki Kitazono
{"title":"基于IMU的手部跟踪研究","authors":"Takuma Miyazaki, Yuhki Kitazono","doi":"10.12792/iciae2019.037","DOIUrl":null,"url":null,"abstract":"Many devices that capture hand movements and body movements have limited tracking range. For example, Kinect which is a motion capture device using a stereo camera can perform motion tracking only in the range captured by a stereo camera. Therefore, in order not to be trapped within the capture range, it is necessary to perform motion capture using a sensor that does not limit the measurement range. Therefore, we will capture the posture and position of the hand using IMU. However, in order to detect movement in the IMU, it is necessary to integrate the acceleration twice, and the movement diverges due to the influence of sensor noise. Therefore, in this paper, we propose a method to estimate hand position from arm posture and perform hand capture.","PeriodicalId":173819,"journal":{"name":"Proceedings of The 7th IIAE International Conference on Industrial Application Engineering 2019","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on Hand Tracking with IMU\",\"authors\":\"Takuma Miyazaki, Yuhki Kitazono\",\"doi\":\"10.12792/iciae2019.037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many devices that capture hand movements and body movements have limited tracking range. For example, Kinect which is a motion capture device using a stereo camera can perform motion tracking only in the range captured by a stereo camera. Therefore, in order not to be trapped within the capture range, it is necessary to perform motion capture using a sensor that does not limit the measurement range. Therefore, we will capture the posture and position of the hand using IMU. However, in order to detect movement in the IMU, it is necessary to integrate the acceleration twice, and the movement diverges due to the influence of sensor noise. Therefore, in this paper, we propose a method to estimate hand position from arm posture and perform hand capture.\",\"PeriodicalId\":173819,\"journal\":{\"name\":\"Proceedings of The 7th IIAE International Conference on Industrial Application Engineering 2019\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of The 7th IIAE International Conference on Industrial Application Engineering 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12792/iciae2019.037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The 7th IIAE International Conference on Industrial Application Engineering 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12792/iciae2019.037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

许多捕捉手部运动和身体运动的设备追踪范围有限。例如,Kinect是一种使用立体摄像机的动作捕捉设备,它只能在立体摄像机捕捉到的范围内进行运动跟踪。因此,为了不被困在捕获范围内,有必要使用不限制测量范围的传感器进行运动捕获。因此,我们将使用IMU捕捉手的姿势和位置。然而,为了检测IMU中的运动,需要对加速度进行两次积分,并且由于传感器噪声的影响,运动会发散。因此,在本文中,我们提出了一种从手臂姿势估计手部位置并进行手部捕捉的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on Hand Tracking with IMU
Many devices that capture hand movements and body movements have limited tracking range. For example, Kinect which is a motion capture device using a stereo camera can perform motion tracking only in the range captured by a stereo camera. Therefore, in order not to be trapped within the capture range, it is necessary to perform motion capture using a sensor that does not limit the measurement range. Therefore, we will capture the posture and position of the hand using IMU. However, in order to detect movement in the IMU, it is necessary to integrate the acceleration twice, and the movement diverges due to the influence of sensor noise. Therefore, in this paper, we propose a method to estimate hand position from arm posture and perform hand capture.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信