Human activity recognition using ensemble machine learning classifiers

Activity recognition offers a wide range of applications in various industrial processes and healthcare. This work proposes an approach to collect data from a spherical coordinate system using smartphones, then extract the highly efficient features using advanced preprocessing. The paper also propos...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Henna, Shagufta, Aboga, David, Bilal, Muhammad, Azeez, Stephen
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithms Classifiers Human activity recognition Machine learning Spherical coordinates
Online-Zugang:	Volltext
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