Comparing Person-Specific and Independent Models on Subject-Dependent and Independent Human Activity Recognition Performance

The distinction between subject-dependent and subject-independent performance is ubiquitous in the human activity recognition (HAR) literature. We assess whether HAR models really do achieve better subject-dependent performance than subject-independent performance, whether a model trained with data...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 20; H. 13; S. 3647
Hauptverfasser:	Scheurer, Sebastian, Tedesco, Salvatore, O’Flynn, Brendan, Brown, Kenneth N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI 29.06.2020 MDPI AG
Schlagworte:	Algorithms bagging boosting ensemble methods Human Activities human activity recognition Humans inertial sensors Machine Learning inertial sensors boosting machine learning human activity recognition bagging ensemble methods
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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