Artificial Intelligence and IoT in Elderly Fall Prevention: A Review-Reference-Cited by-同舟云学术

Artificial Intelligence and IoT in Elderly Fall Prevention: A Review

Published:2024-02-15 Issue:4 Volume:24 Page:4181-4198
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Mohan Deepika¹^ORCID,Al-Hamid Duaa Zuhair¹^ORCID,Chong Peter Han Joo¹^ORCID,Sudheera Kalupahana Liyanage Kushan²^ORCID,Gutierrez Jairo³^ORCID,Chan Henry C. B.⁴^ORCID,Li Hui⁵

Affiliation:

1. Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland, New Zealand

2. Department of Electrical and Information Engineering, University of Ruhuna, Matara, Sri Lanka

3. Department of Computer Science and Software Engineering, Auckland University of Technology, Auckland, New Zealand

4. Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China

5. Shenzhen Graduate School, Peking University, Shenzhen, China

Funder

U.S. Department of Commerce

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10433867/10381615.pdf?arnumber=10381615

Reference112 articles.

1. The Vision of the Healthcare Industry for Supporting the Aging Population

2. STEADI: CDC's approach to make older adult fall prevention part of every primary care practice

3. From Fall Detection to Fall Prevention: A Generic Classification of Fall-Related Systems

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