Intrinsic Properties of Human Accelerometer Data for Machine Learning-Reference-Cited by-同舟云学术

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Intrinsic Properties of Human Accelerometer Data for Machine Learning

Published:2023-07-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Statistical Signal Processing Workshop (SSP)
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Author:

Lee T. K. M.¹,Chan H. W.²,Leo K. H.³,Chew E.⁴,Zhao L.⁴,Sanei S.⁵

Affiliation:

1. Singapore Monash University,Electrical and Electronic Engineering Singapore Polytechnic,Malaysia

2. University of Glasgow,Aerospace Engineering,Singapore

3. Singhealth Office for Organizational Transformation,Singapore

4. National University Hospital,Division of Neurology,Singapore

5. Nottingham Trent University,School of Science and Technology,Nottingham,United Kingdom

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10207925/10207926/10207963.pdf?arnumber=10207963

Reference23 articles.

1. Fusion of Chaotic Measure Into A New Hybrid Face-Gait System for Human Identification;lee;Proc ICPR,2006

2. Nonlinear Characterisation of Fronto-Normal Gait for Human Recognition

3. Singular Spectrum Analysis of Biomedical Signals

4. Advances on Singular Spectrum Analysis of Rehabilitative Assessment Data

5. Nonlinear time series classification using bispectrum‐based deep convolutional neural networks

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