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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2020-01, Vol.8, p.1-1
Hauptverfasser:	Rustam, Furqan, Reshi, Aijaz Ahmad, Ashraf, Imran, Mehmood, Arif, Ullah, Saleem, Khan, Dost Muhammad, Choi, Gyu Sang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerometers Accuracy Activity recognition artificial intelligence Artificial neural networks Classification Computer architecture Computer peripherals Correlation coefficients Deep learning Feature extraction Hardware Hidden Markov models Human activity recognition Learning theory Machine learning Moving object recognition multilayered perceptron neural networks Performance evaluation Performance measurement Sensors sensors data stacked learning Stacking supervised machine learning Support vector machines Task analysis
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!