Editorial for the Special Issue on Methodology, Microfabrication and Applications of Advanced Sensing and Smart Systems-Reference-Cited by-同舟云学术

Editorial for the Special Issue on Methodology, Microfabrication and Applications of Advanced Sensing and Smart Systems

Published:2024-09-13 Issue:9 Volume:15 Page:1149
ISSN:2072-666X
Container-title:Micromachines
language:en
Short-container-title:Micromachines

Author:

Jia Luyu¹,Ji Shanling²,Gao Yuze²,Wen Haiying²^ORCID,Zhu Jianxiong²³^ORCID

Affiliation:

1. Sustainable Development Research Group, Chongqing University of Technology, Chongqing 400054, China

2. School of Mechanical Engineering, Southeast University, Nanjing 211189, China

3. Guangdong Provincial Key Laboratory of Electronic Functional Materials and Devices, Huizhou University, Huizhou 516001, China

Abstract

Smart sensing and advanced systems have played crucial roles in the modern industrialization of society, which has led to many sensors being used in fabrication methodologies for various applications, such as in medical equipment [...]

Funder

Science and Technology Research Program of Chongqing Municipal Education Commission

University-Industry Collaborative Education Program by Ministry of Education

Ministry of Education Chunhui Plan International Cooperation Project

National Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Open Project Program of Guangdong Provincial Key Laboratory of Electronic Functional Materials and Devices, Huizhou University

Publisher

MDPI AG

Link

https://www.mdpi.com/2072-666X/15/9/1149/pdf

Reference15 articles.

1. Panahi, A., Hassanzadeh, A., and Moulavi, A. (2020). Design of a Low Cost, Double Triangle, Piezoelectric Sensor for Respiratory Monitoring Applications. Sens. Bio-Sens. Res., 30.

2. Zhou, F., Chen, M., Dai, Y., and Qin, K. (2018, January 16). Analysis and Research on Multi-Joint Power-Assisted Exoskeleton. Proceedings of the 2018 WRC Symposium on Advanced Robotics and Automation (WRC SARA), Beijing, China.

3. More than Energy Harvesting in Electret Electronics-Moving toward Next-Generation Functional System;Zhu;Adv. Funct. Mater.,2023

4. Magno, M., Spadaro, L., Singh, J., and Benini, L. (2016, January 22–24). Kinetic Energy Harvesting: Toward Autonomous Wearable Sensing for Internet of Things. Proceedings of the 2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Capri, Italy.

5. Machine Learning-Assisted Wearable Sensing for High-Sensitivity Gesture Recognition;Zhao;Sens. Actuators A Phys.,2024