Research on Human Body Recognition in the Field of Disability Assistance Based on Wireless Sensing Technology
- DOI
- 10.2991/978-94-6463-512-6_21How to use a DOI?
- Keywords
- Wireless Sensing Technology; Human Body Recognition; Disability Field
- Abstract
With the global rise in both the aging population and the number of individuals with disabilities, leveraging advanced technology to enhance their quality of life has emerged as a crucial societal focus. This paper examines the current research and future potential of human behavior sensing through increasingly popular wireless networks like WiFi, particularly in aiding disabled populations. It begins by outlining the foundational principles of wireless sensing—specifically, how human movement affects signal modulation to recognize behaviors. The discussion then extends to notable recent studies that have employed this technology to assist visually impaired individuals, facilitate communication for the deaf and mute, and provide monitoring for the elderly and disabled. Key technical challenges in practical implementations are analyzed, including issues related to sensing accuracy and privacy protection in real-world settings, which predominantly remain experimental and confined to laboratory environments. The paper concludes by projecting the significant potential and expansive future applications of integrating this technology in disability assistance, aiming to systematically compile the progress and outline the operational modes, key technological considerations, challenges, and future directions of wireless sensing technologies to aid disabled individuals. This synthesis serves as a reference for further research in the field.
- 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
TY - CONF AU - Qibin Hao PY - 2024 DA - 2024/09/23 TI - Research on Human Body Recognition in the Field of Disability Assistance Based on Wireless Sensing Technology BT - Proceedings of the 2024 International Conference on Artificial Intelligence and Communication (ICAIC 2024) PB - Atlantis Press SP - 181 EP - 188 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-512-6_21 DO - 10.2991/978-94-6463-512-6_21 ID - Hao2024 ER -