Open AccessHuman activity recognition based on mobile phone sensor data using stacking machine learning classifiers
Author(s) -
Mahsa Soufineyestani,
Hedieh Sajedi,
Vali Tawosi
Publication year - 2019
Publication title -
international journal of digital signals and smart systems
Language(s) - English
Resource type - Journals
eISSN - 2398-032X
pISSN - 2398-0311
DOI - 10.1504/ijdsss.2019.105786
Subject(s) - artificial intelligence , computer science , activity recognition , stacking , random subspace method , pattern recognition (psychology) , feature selection , machine learning , feature (linguistics) , set (abstract data type) , feature extraction , data set , data mining , support vector machine , linguistics , philosophy , physics , nuclear magnetic resonance , programming language
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