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Enhancing Sensor-Based Human Physical Activity Recognition Using Deep Neural Networks
Minyar Sassi Hidri
*
, Adel Hidri
, Suleiman Ali Alsaif
,
Muteeb Alahmari
, Eman AlShehri
*
Corresponding author for this work
Computer Center
Imam Abdulrahman Bin Faisal University
Research output
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Contribution to journal
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Article
›
peer-review
4
Scopus citations
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Dive into the research topics of 'Enhancing Sensor-Based Human Physical Activity Recognition Using Deep Neural Networks'. Together they form a unique fingerprint.
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Computer Science
Deep Neural Network
100%
Convolutional Neural Network
100%
Long Short-Term Memory Network
100%
Recurrent Neural Network
100%
Deep Learning Method
66%
Learning System
66%
Machine Learning
66%
Classification Accuracy
33%
Neural Network Architecture
33%
Classification Performance
33%
Representation Learning
33%
Neural Network Model
33%
Autoencoder
33%
Temporal Relationship
33%
Psychology
Physical Activity
100%
Neural Network
100%
Short-Term Memory
37%
Network Model
12%
Neuroscience
Recurrent Neural Network
60%
Chemical Engineering
Recurrent Neural Network Model
25%