Fall Detection With a Nonintrusive and First-Person Vision Approach-Reference-Cited by-同舟云学术

Fall Detection With a Nonintrusive and First-Person Vision Approach

Published:2023-11-15 Issue:22 Volume:23 Page:28304-28317
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Wang Xueyi¹^ORCID,Talavera Estefanía²,Karastoyanova Dimka¹^ORCID,Azzopardi George¹^ORCID

Affiliation:

1. Faculty of Science and Engineering, Bernoulli Institute of Mathematics, Computer Science and Artificial Intelligence, Information System Group, University of Groningen, Groningen, The Netherlands

2. Department of Mathematics and Computer Science (EEMCS), Faculty of Electrical Engineering, Data Management and Biometrics (DMB) Group, University of Twente, Enschede, The Netherlands

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10316685/10255614.pdf?arnumber=10255614

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