Spatiotemporal Analysis by Deep Learning of Gait Signatures From Floor Sensors-Reference-Cited by-同舟云学术

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Spatiotemporal Analysis by Deep Learning of Gait Signatures From Floor Sensors

Published:2021-08-01 Issue:15 Volume:21 Page:16904-16914
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Alharthi Abdullah S.^ORCID,Casson Alexander J.^ORCID,Ozanyan Krikor B.^ORCID

Funder

Government of Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9502188/09425580.pdf?arnumber=9425580

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2. Human Bipedal Locomotion-Based Indoor Location Tracking Using Fiber-Optic Sensors;IEEE Sensors Journal;2024-04-15

3. Assessing the Stability of Human Gait Based on a Human Electrostatic Field Detection System;IEEE Sensors Journal;2024-04-01

4. A systematic review on fall detection systems for elderly healthcare;Multimedia Tools and Applications;2023-10-16

5. Pattern recognition of gait signals using φ-OTDR;SPIE-CLP Conference on Advanced Photonics 2022;2023-03-29

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