Poster: Unobtrusively Mining Vital Sign and Embedded Sensitive Info via AR/VR Motion Sensors-Reference-Cited by-同舟云学术

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Poster: Unobtrusively Mining Vital Sign and Embedded Sensitive Info via AR/VR Motion Sensors

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing
language:
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Author:

Zhang Tianfang¹^ORCID,Ye Zhengkun²^ORCID,Mahdad Ahmed Tanvir³^ORCID,Akanda Md Mojibur Rahman Redoy³^ORCID,Shi Cong⁴^ORCID,Saxena Nitesh⁵^ORCID,Wang Yan²^ORCID,Chen Yingying¹^ORCID

Affiliation:

1. Rutgers University, New Brunswick, United States of America

2. Temple University, Philadelphia, United States of America

3. Texas A&M University, College Station, USA

4. New Jersey Institute of Technology, Newark, USA

5. Texas A&M University, College Station, United States of America

Funder

CNS

CCF

IIS

Publisher

ACM

Reference3 articles.

1. Blood Lipids in Children: Age-Related Patterns and Association with Body-Fat Indices

2. Trajectories of Fat Mass Index, Fat Free–Mass Index, and Waist Circumference in Children

3. Statista. 2023. AR/VR - Worldwide Statista Market Forecast. https://www.statista.com/outlook/amo/ar-vr/worldwide. Statista. 2023. AR/VR - Worldwide Statista Market Forecast. https://www.statista.com/outlook/amo/ar-vr/worldwide.

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