Current Analysis and Future Perspectives of a Smart Sensor Monitoring System for Multi-Scenario Recreation

Zhuoteng Xie

doi:10.54254/2755-2721/2025.20600

Research Article

Open access

Published on 24 January 2025

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Xie,Z. (2025). Current Analysis and Future Perspectives of a Smart Sensor Monitoring System for Multi-Scenario Recreation. Applied and Computational Engineering,133,53-59.

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Current Analysis and Future Perspectives of a Smart Sensor Monitoring System for Multi-Scenario Recreation

Zhuoteng Xie *^,1,

¹ Guangzhou University of Chinese Medicine, Guangzhou, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.20600

Abstract

With the accelerated aging of the population and the improvement of health awareness, the recreation industry is experiencing a booming development. Smart sensors, as the core component of recreation monitoring systems, play a key role in multi-scenario applications. This paper reviews the current research status of a multi-scenario recreation smart sensor monitoring system and analyzes its application in different scenarios such as family, community, and hospital. Firstly, the technological progress of smart sensors in physiological parameter monitoring, behavior analysis, and environment sensing is described. Second, the overall architecture design and data fusion method of a multi-scenario recreation monitoring system are discussed. Secondly, the characteristics and application requirements of smart sensors in different scenarios are compared and analyzed. Finally, the current technical challenges, including data security and privacy, system reliability, and intelligence level, are pointed out, and the future development trend is also prospected. The study shows that the introduction of emerging technologies such as multimodal sensing fusion, edge computing, and artificial intelligence will further enhance the performance of the recreation monitoring system. In the future, the construction of an intelligent and personalized recreation monitoring system covering the whole life cycle is of great significance in promoting the high-quality development of the recreation industry.

Keywords

recreation monitoring, smart sensors, multi-scenario applications, data fusion, artificial intelligence

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References

[1]. Deepika DIMRI; Ambika KUMAR; Deepak Kumar MISHRA; Archana SHARMA. Spatio-temporal variation of trace elements distributed over surface water of the Upper Ganga River Basin in the Western Himalayan Region[J]. Journal of Mountain Science,2023(01):153-170.

[2]. Abhilash Perisetti; Hemant Goyal; Rachana Yendala; Saurabh Chandan; Benjamin Tharian; Ragesh Babu Thandassery; Sarcopenia in hepatocellular carcinoma: Current knowledge and future directions[J].World Journal of Gastroenterology,2022(04):34-50.

[3]. Moises Rodriguez-Gonzalez;Ana Castellano-Martinez;Helena Maria Cascales-Poyatos;Alvaro Antonio Perez-Reviriego;.Cardiovascular impact of COVID-19 with a focus on children: A systematic review[J].World Journal of Clinical Cases,2020(21):187-220.

[4]. Wang Yabo; Zhang Ke; Zhao Enjiao;. A review of intelligent collision avoidance system technology for unmanned underwater vehicles[J]. Journal of Weapons and Equipment Engineering,2023(04):59-65.

[5]. ZHU Ming; ZHANG Zhenfu; HUANG Huang; CHEN Hao; CUAN Xinwei; DONG Tao;. Research progress on intelligent feeding method for fish culture[J]. Journal of Agricultural Engineering,2022(07):50-59.

[6]. YANG Xiao; WANG Xiangkun; HU Hao; ZHU Min;. A review of visualization techniques for equipment condition monitoring[J]. Computer Science,2022(07):95-105.

[7]. LIU Xiaoyin; GUO Jun; HUO Yingning; BER Yang; ZHANG Yaping; FAN Zhongyong; LIU Ping'an;. Development of an intelligent analysis system for monitoring and querying pedestrian flow based on the photoelectric sensing principle[J]. Physics and Engineering,2022(04):219-224.

[8]. Excellence; Ding Feng; Yan Navy; Xu Jing; Research progress on the application of UAV remote sensing in forage crop growth monitoring[J]. Smart Agriculture (in Chinese and English),2022(04):41-54.

[9]. JIANG Lei; HAN Han; LI Xiaochen; CHEN Wen; GENG Xu;. Development status and future outlook of medication monitoring system in the context of smart community[J]. Intelligent Building and Smart City,2022(01):34-38.

[10]. ZHOU Lianqing; ZHAO Cuiping; ZHANG Jie; CHE Shi; Application and prospect of artificial intelligence real-time seismic monitoring and analyzing system at China Earthquake Science Laboratory[J]. Earthquake,2021(03):3-23.

[11]. Yang, Q.; Dong, F. N.; Luo, M. D.; Sun, J.; Cui, H. N.; Jie, Q. S.;. Broadband voltage sensing method and its data application[J]. High Voltage Technology,2021(06):82-96.

[12]. Sheng Qianqian; He Wenyan; Liu Yuyang; Ye Shunyao; Zhou Sicong; Li Jiawei;. Research progress of plant physiological information monitoring technology[J]. Western Forestry Science,2020(06):14-21.

[13]. WANG Jianwei; GAO Chao; DONG Yes; XU Sheng; YUAN Changwei; ZHANG Chi; HUANG Zebin; BU Sanshan; CHANG Qing; WANG Yue;. Progress and Prospect of Road Infrastructure Digitization[J]. China Journal of Highway, 2020(11):105-128.

[14]. Zhang Sen. An intelligent skin cleaning machine based on microcontroller design [D]. Shandong University of Traditional Chinese Medicine,2023.

[15]. Shen YJ. Research on fault diagnosis and life prediction of ball screw subassembly based on deep learning[D]. Qingdao University of Technology,2023.

Cite this article

Xie,Z. (2025). Current Analysis and Future Perspectives of a Smart Sensor Monitoring System for Multi-Scenario Recreation. Applied and Computational Engineering,133,53-59.

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About volume

Volume title: Proceedings of the 5th International Conference on Signal Processing and Machine Learning

Conference website: https://2025.confspml.org/

ISBN：978-1-83558-943-4(Print) / 978-1-83558-944-1(Online)

Conference date: 12 January 2025

Editor：Stavros Shiaeles

Series: Applied and Computational Engineering

Volume number: Vol.133

ISSN：2755-2721(Print) / 2755-273X(Online)

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