Stacked Generalization for Human Activity Recognition

2020/09/22 by Ambareesh Ravi, Ravi, Ambareesh
Computer Science · #Human Pose and Action Recognition #Anomaly Detection Techniques and Applications #Context-Aware Activity Recognition Systems

paper · pdf · doi:10.48550/arxiv.2009.10312

Abstract

This short paper aims to discuss the effectiveness and performance of classical machine learning approaches for Human Activity Recognition (HAR). It proposes two important models - Extra Trees and Stacked Classifier with the emphasize on the best practices, heuristics and measures that are required to maximize the performance of those models.

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