A Noncontact Fall Detection Method for Bedside Application With a MEMS Infrared Sensor and a Radar Sensor-Reference-Cited by-同舟云学术

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A Noncontact Fall Detection Method for Bedside Application With a MEMS Infrared Sensor and a Radar Sensor

Published:2023-07-15 Issue:14 Volume:10 Page:12577-12589
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

He Chunhua¹^ORCID,Liu Shuibin¹,Zhong Guangxiong¹,Wu Heng²,Cheng Lianglun¹,Yan Guizhen³,Wen Yangxing⁴

Affiliation:

1. School of Computer, Guangdong University of Technology, Guangzhou, China

2. School of Automation, Guangdong University of Technology, Guangzhou, China

3. Institute of Microelectronics, Peking University, Beijing, China

4. Reproductive Medicine Center, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10175002/10058501.pdf?arnumber=10058501

Reference45 articles.

1. Daily Activity Monitoring and Fall Detection Based on Surface Electromyography and Plantar Pressure

2. Infrared–ultrasonic sensor fusion for support vector machine–based fall detection

3. Fall Detection System by Machine Learning Framework for Public Health

4. Multimodal System for Fall Detection and Location of person in an Intelligent Habitat

5. A dataset for the development and optimization of fall detection algorithms based on wearable sensors

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1. State-of-the-art radar technology for remote human fall detection: a systematic review of techniques, trends, and challenges;Multimedia Tools and Applications;2024-07-22

2. Full-coverage unobtrusive health monitoring of elders at homes;Internet of Things;2024-07

3. Infrared Gas Sensor Based on MEMS Technology for Gas Detection;Journal of Physics: Conference Series;2024-06-01

4. Machine Learning Method-Based Static Infrared Gesture Recognition System;IEEE Sensors Letters;2023-12

5. Strain Response Research of MEMS Electric Field Sensors with PVDF-based Multilayer Piezoelectric Crystal Materials;2023 2nd International Conference on Smart Grids and Energy Systems (SGES);2023-08-25

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