Sensor-Based Human Activity Recognition Using Deep Stacked Multilayered Perceptron Model

Sensor-Based Human Activity Recognition Using Deep Stacked Multilayered Perceptron Model

The recent development of machines exhibiting intelligent characteristics involves numerous techniques including computer hardware and software architecture development. Many different hardware devices, wearable sensors, machine learning, and deep learning model implementations are being applied in...

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Bibliographic Details
Main Authors: Furqan Rustam, Aijaz Ahmad Reshi, Imran Ashraf, Arif Mehmood, Saleem Ullah, Dost Muhammad Khan, Gyu Sang Choi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Human activity recognition
artificial intelligence
neural networks
sensors data
multilayered perceptron
stacked learning
Online Access:https://ieeexplore.ieee.org/document/9277886/

Internet

https://ieeexplore.ieee.org/document/9277886/

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