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International Journal of Big Data Intelligent Technology, 2024, 5(1); doi: 10.38007/IJBDIT.2024.050102.

Innovative Applications of Time-of-Flight Sensors in Smart Homes and Healthcare

Author(s)

Xiangli Long, Pengfei Gou, Song Ai, Chaoneng Yang, Yufeng Ma, Xinan Hu

Corresponding Author:
Xiangli Long
Affiliation(s)

Ningbo Jinshengxin Imaging Technology Co., Ltd., Ningbo 315500, China

Abstract

Time-of-Flight (ToF) sensors, as a high-precision distance measurement technology, have shown tremendous potential applications in the fields of smart homes and healthcare in recent years. These sensors measure the distance of objects by emitting and receiving light signals, providing real-time, high-precision three-dimensional spatial information, thereby making spatial perception and interaction more precise and intelligent. In the field of smart homes, ToF sensors can improve living environments and enhance user experiences, while in healthcare, they contribute to improving diagnosis and treatment efficiency, and enhancing patient care. This article aims to explore the innovative applications of ToF sensors in these two domains, analyze how they improve the quality of home life and healthcare services, discuss the technical and ethical challenges faced in realizing these applications, as well as potential directions for future development. Through in-depth analysis, this article aims to reveal the significant role of ToF sensors in modern technology and how they shape the future of our lives and healthcare.

Keywords

Time-of-Flight Sensor, Smart Homes, Healthcare, Spatial Perception, Interaction Technology, Security Monitoring, Remote Monitoring

Cite This Paper

Xiangli Long, Pengfei Gou, Song Ai, Chaoneng Yang, Yufeng Ma, Xinan Hu. Innovative Applications of Time-of-Flight Sensors in Smart Homes and Healthcare. International Journal of Big Data Intelligent Technology (2024), Vol. 5, Issue 1: 9-14. https://doi.org/10.38007/IJBDIT.2024.050102.

References

[1] Li Baoliang. Design and optimization of temperature sensors based on magnetostrictive torsional waves. Hebei University of Technology, 2022.

[2] Lan Hao, Tao Wei, Li Hui. Path planning for scanning coverage of heterogeneous UAV swarms. Computer Simulation, 1-9 [2024-03-04].

[3] Liu Yupu. Research on polarization-interference demodulation of medical fiber-optic Fabry-Perot pressure sensors. Xi'an University of Technology, 2023.

[4] Wang Shuya. Translation practice report on Chapters 1-6 of "Application of Artificial Intelligence, Blockchain, and Internet of Things in Smart Healthcare". Inner Mongolia University, 2023.

[5] Five major technologies driving progress in the medical field. Examination and Enrollment, 2023, (Z1): 74.

[6] Wu Jin. Research on classification methods of nonlinear medical sensor data based on continuous learning. Nanjing University of Information Science & Technology, 2023.