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IMU Based Deep Stride Length Estimation With Self-Supervised Learning
Jien De Sui,
Tian-Sheuan Chang
Center for Neuromodulation Medical Electronics Systems
Institute of Electronics
Research output
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Contribution to journal
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Article
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peer-review
16
Scopus citations
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Keyphrases
Inertial Measurement Unit
100%
Unit-based
100%
Stride Length Estimation
100%
Self-supervised Learning
100%
Stride Length
50%
Popular
25%
Deep Learning Methods
25%
Estimation Method
25%
Supervised Learning
25%
Classification Task
25%
Walking Styles
25%
Gait Parameters
25%
Labeled Data
25%
Unlabeled Data
25%
Convolutional Neural Network Model
25%
Estimation Task
25%
Sports Training
25%
Inertial Measurement Unit Sensors
25%
Feature Learning
25%
Model Train
25%
Data Issues
25%
Percent Error
25%
Limited Labeled Data
25%
Healthcare Training
25%
Downstream Task
25%
Walking Stride
25%
Pretext Task
25%
Design Assumptions
25%
Computer Science
Measurement Unit
100%
Self-Supervised Learning
100%
Convolutional Neural Network
50%
Estimation Method
50%
Supervised Learning
50%
Neural Network Model
50%
Classification Task
50%
Representation Learning
50%
Deep Learning Method
50%
Health Care
50%
Chemical Engineering
Supervised Learning
100%
Deep Learning Method
33%
Neural Network
33%
Neuroscience
Neural Network
100%