Fall Detection in the Elderly using Different Machine Learning Algorithms with Optimal Window Size-Reference-Cited by-同舟云学术

Fall Detection in the Elderly using Different Machine Learning Algorithms with Optimal Window Size

Published:2023-08-04 Issue: Volume: Page:
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Kausar Firdous,Mesbah Mostefa,Iqbal Waseem^ORCID,Ahmad Awais,Sayyed Ikram

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s11036-023-02215-6.pdf

Reference35 articles.

1. Centers for Disease Control and Prevention (n.d.) Deaths from older adult falls. https://www.cdc.gov/falls/data/fall-deaths.html. Accessed 20 July 2022

2. Centers for Disease Control and Prevention (n.d.) Keep on your feet - preventing older adult falls. https://www.cdc.gov/injury/features/older-adult-falls/index.html. Accessed 20 July 2022

3. Deandrea S et al (2010) Risk factors for falls in community-dwelling older people: a systematic review and meta-analysis. Epidemiology 21(5):658–668

4. Waheed M et al (2021) NT-FDS—a noise tolerant fall detection system using deep learning on wearable devices. Sensors 21(6). https://doi.org/10.3390/s21062006

5. Costa A et al (2012) Sensor-driven agenda for intelligent home care of the elderly. Expert Syst Appl 39(15):12192–12204

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