Robotics & Machine Learning Daily News2024,Issue(Dec.3) :172-173.

Studies from University of Nebraska at Omaha Yield New Information about Support Vector Machines (Pattern Analysis Using Lower Body Human Walking Data To Identi fy the Gaitprint)

来自奥马哈内布拉斯加州大学的研究产生了关于支持向量机的新信息(使用人体下半身行走数据来识别步态的模式分析)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :172-173.

Studies from University of Nebraska at Omaha Yield New Information about Support Vector Machines (Pattern Analysis Using Lower Body Human Walking Data To Identi fy the Gaitprint)

来自奥马哈内布拉斯加州大学的研究产生了关于支持向量机的新信息(使用人体下半身行走数据来识别步态的模式分析)

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-支持向量机的新研究是一篇报道的主题。根据来自内布拉斯加州奥马哈的新闻,由NewsRx记者报道,研究表明,“所有人都有一个指纹是他们独有的,并且在一生中一直存在。同样地,我们建议人们步态,一种持久的行走模式,包含关于个人的独特信息。这项研究的资助者包括国家科学基金会(NSF),国家卫生研究院(NIH)-美国,内布拉斯加州大学协作倡议,人类运动研究中心内布拉斯加大学奥马哈分校,美国国家航空航天局(NASA),爸爸

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Support Vector Machine s is the subject of a report. According tonews originating from Omaha, Nebraska , by NewsRx correspondents, research stated, “All people have afingerprint that is unique to them and persistent throughout life. Similarly, we propose that pe ople havea gaitprint, a persistent walking pattern that contains unique informa tion about an individual.”Funders for this research include National Science Foundation (NSF), National In stitutes of Health(NIH) - USA, University of Nebraska Collaboration Initiative, Center for Research in Human MovementVariability at the University of Nebraska at Omaha, National Aeronautics & Space Administration (NASA),IAR PA.

Key words

Omaha/Nebraska/United States/North an d Central America/Emerging Technologies/Machine Learning/Pattern Analysis/Su pport Vector Machines/Vector Machines/University of Nebraska at Omaha

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文