Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)

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A Prospective Study of 6G Technology in Integrated Sensing and Communications for Human Action Recognition

Authors
Jin Wan1, *, Jiantao Zheng2
1School of Politics Science and Law, Jiangxi Normal University, Nanchang, 330022, China
2School of Art and Design, Kede College of Capital Normal University, Beijing, 102602, China
*Corresponding author. Email: yyqmzhf@jxnu.edu.cn
Corresponding Author
Jin Wan
Available Online 23 September 2024.
DOI
10.2991/978-94-6463-512-6_20How to use a DOI?
Keywords
Human Action Recognition; 6G Communication; WiFi Perception; Integrated Sensing and Communications
Abstract

With the continuous advancement of wireless technology, human activation recognition technology based on wireless signals has become a prominent area of research. It allows for real-time tracking of body movements and postures, enhancing applications in fitness, rehabilitation, and ergonomics. Simultaneously, the sixth-generation (6G) communication promises to revolutionize connectivity with unprecedented speed, lower latency, and massive device capacity. It aims to support advanced applications with enhanced security and Artificial Intelligence (AI) integration, thereby fostering innovation in information processing techniques as well as service technologies. This paper discusses the Integrated Sensing and Communication (ISAC) techniques based on 6G communication for human action recognition from three perspectives. Firstly, wireless sensing technology based on WiFi signal is introduced, where the concept and typical wireless sensing technology is highlighted. Secondly, 6G-based ISAC technology is elaborated focusing on representative signal and network design. Thirdly, key algorithms regarding 6G wireless perception is demonstrated. By deeply studying this emerging technology, this work expects to provide new ideas and directions for the development of future ISAC.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
Series
Advances in Intelligent Systems Research
Publication Date
23 September 2024
ISBN
978-94-6463-512-6
ISSN
1951-6851
DOI
10.2991/978-94-6463-512-6_20How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jin Wan
AU  - Jiantao Zheng
PY  - 2024
DA  - 2024/09/23
TI  - A Prospective Study of 6G Technology in Integrated Sensing and Communications for Human Action Recognition
BT  - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024)
PB  - Atlantis Press
SP  - 172
EP  - 180
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-512-6_20
DO  - 10.2991/978-94-6463-512-6_20
ID  - Wan2024
ER  -