An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection

I Putra; James Brusey; Elena Gaura; Rein Vesilo

doi:10.3390/s18010020

An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection

Sensors ◽

10.3390/s18010020 ◽

2017 ◽

Vol 18 (2) ◽

pp. 20 ◽

Cited By ~ 24

Author(s):

I Putra ◽

James Brusey ◽

Elena Gaura ◽

Rein Vesilo

Keyword(s):

Machine Learning ◽

Fall Detection ◽

Learning Approach ◽

Machine Learning Approach ◽

Event Triggered

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Fall Detection Based on the Instantaneous Doppler Frequency: A Machine Learning Approach

2019 IEEE Wireless Communications and Networking Conference (WCNC) ◽

10.1109/wcnc.2019.8885692 ◽

2019 ◽

Author(s):

Ali Chelli ◽

Matthias Patzold

Keyword(s):

Machine Learning ◽

Doppler Frequency ◽

Fall Detection ◽

Learning Approach ◽

Machine Learning Approach

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A Machine Learning Approach for Fall Detection and Daily Living Activity Recognition

IEEE Access ◽

10.1109/access.2019.2906693 ◽

2019 ◽

Vol 7 ◽

pp. 38670-38687 ◽

Cited By ~ 31

Author(s):

Ali Chelli ◽

Matthias Patzold

Keyword(s):

Machine Learning ◽

Activity Recognition ◽

Daily Living ◽

Fall Detection ◽

Learning Approach ◽

Daily Living Activity ◽

Machine Learning Approach

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A machine learning approach to fall detection algorithm using wearable sensor

2016 International Conference on Advanced Materials for Science and Engineering (ICAMSE) ◽

10.1109/icamse.2016.7840209 ◽

2016 ◽

Cited By ~ 6

Author(s):

Chia-Yeh Hsieh ◽

Chih-Ning Huang ◽

Kai-Chun Liu ◽

Woei-Chyn Chu ◽

Chia-Tai Chan

Keyword(s):

Machine Learning ◽

Fall Detection ◽

Detection Algorithm ◽

Learning Approach ◽

Wearable Sensor ◽

Machine Learning Approach

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Bearing Fault Event-Triggered Diagnosis using a Variational Mode Decomposition-based Machine Learning Approach

IEEE Transactions on Energy Conversion ◽

10.1109/tec.2021.3085909 ◽

2021 ◽

pp. 1-1

Author(s):

Houssem Habbouche ◽

Yassine Amirat ◽

Tarak Benkedjouh ◽

Mohamed Benbouzid

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Variational Mode Decomposition ◽

Bearing Fault ◽

Mode Decomposition ◽

Machine Learning Approach ◽

Event Triggered

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A Machine Learning Approach for Fall Detection Based on the Instantaneous Doppler Frequency

IEEE Access ◽

10.1109/access.2019.2947739 ◽

2019 ◽

Vol 7 ◽

pp. 166173-166189 ◽

Cited By ~ 2

Author(s):

Ali Chelli ◽

Matthias Patzold

Keyword(s):

Machine Learning ◽

Doppler Frequency ◽

Fall Detection ◽

Learning Approach ◽

Machine Learning Approach

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A Machine Learning Approach for Near-Fall Detection Based on Inertial and Force Data While Using a Conventional Rollator

10.1007/978-3-030-70316-5_55 ◽

2021 ◽

pp. 345-349

Author(s):

Nuno Ferrete Ribeiro ◽

Ana Pereira ◽

Joana Figueiredo ◽

José A. Afonso ◽

Cristina P. Santos

Keyword(s):

Machine Learning ◽

Fall Detection ◽

Learning Approach ◽

Machine Learning Approach ◽

Force Data

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Smartphone Based Fall Detection Using Thresholding and Machine Learning Approach

SSRN Electronic Journal ◽

10.2139/ssrn.3166054 ◽

2018 ◽

Author(s):

Rashmi Shrivastava ◽

Dr. Manju Pandey

Keyword(s):

Machine Learning ◽

Fall Detection ◽

Learning Approach ◽

Machine Learning Approach

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Online Testing in Machine Learning Approach for Fall Detection

2020 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn48605.2020.9206763 ◽

2020 ◽

Author(s):

Lourdes Martinez-Villasenor ◽

Hiram Ponce ◽

Jose Nunez-Martinez ◽

Sofia Pacheco

Keyword(s):

Machine Learning ◽

Fall Detection ◽

Learning Approach ◽

Online Testing ◽

Machine Learning Approach

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Fall detection algorithms for real-world falls harvested from lumbar sensors in the elderly population: A machine learning approach

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2016.7591534 ◽

2016 ◽

Cited By ~ 18

Author(s):

Alan K. Bourke ◽

Jochen Klenk ◽

Lars Schwickert ◽

Kamiar Aminian ◽

Espen A. F. Ihlen ◽

...

Keyword(s):

Machine Learning ◽

Real World ◽

Elderly Population ◽

Fall Detection ◽

The Elderly ◽

Learning Approach ◽

Detection Algorithms ◽

Machine Learning Approach

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Constructing and Validating Geographically Refined HAZUS-MH4 Hurricane Wind Risk Models: A Machine Learning Approach

Advances in Hurricane Engineering ◽

10.1061/9780784412626.092 ◽

2012 ◽

Cited By ~ 2

Author(s):

D. Subramanian ◽

J. Salazar ◽

L. Duenas-Osorio ◽

R. Stein

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Risk Models ◽

Hurricane Wind ◽

Machine Learning Approach

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