Evaluation of the KNN and RF methodologies for human activity recognition forecasting

Predicting the identification of human activities using k closest neighbour method compared to random forest (RF) method is the major purpose of this study work. For this study, we used G-power 0.8, alpha=0.05, and a 95% credibility range to predict the likelihood of human identification using the k...

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Bibliographische Detailangaben

Hauptverfasser:	Ganesh, P., Jagadeesh, P.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Human activity recognition
Online-Zugang:	Volltext
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