Impact of Wireless Sensor Data Mining with Hybrid Deep Learning for Human Activity Recognition

Impact of Wireless Sensor Data Mining with Hybrid Deep Learning for Human Activity Recognition

Human activity recognition is a time series classification problem that is difficult to solve (HAR). Traditional signal processing approaches and domain expertise are necessary to appropriately create features from raw data and fit a machine learning model for predicting a person's movement. Th...

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Bibliographic Details
Main Authors: Mansour, R.F (Author), Mohammad, K.A (Author), Mujallid, O.A (Author), Nair, R. (Author), Ragab, M. (Author), Viju, G.K (Author)
Format: Article
Language:English
Published: Hindawi Limited 2022
Subjects:
Behavioral research
Convolutional neural networks
Data mining
Domain expertise
Human activity recognition
Human behaviors
Learning models
Machine learning models
Pattern recognition
Processing approach
Recurrent neural networks
Sensor-data mining
Signal processing
Signal-processing
Time series classifications
Wireless sensor data
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