A Cascade Ensemble Learning Model for Human Activity Recognition with Smartphones

A Cascade Ensemble Learning Model for Human Activity Recognition with Smartphones

Human activity recognition (HAR) has gained lots of attention in recent years due to its high demand in different domains. In this paper, a novel HAR system based on a cascade ensemble learning (CELearning) model is proposed. Each layer of the proposed model is comprised of Extremely Gradient Boosti...

Full description

Bibliographic Details
Main Authors: Shoujiang Xu, Qingfeng Tang, Linpeng Jin, Zhigeng Pan
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Sensors
Subjects:
human activity recognition
cascade ensemble learning model
smartphone
sensor
extremely gradient boosting trees
Random Forest
extremely randomized trees
Softmax Regression
Online Access:https://www.mdpi.com/1424-8220/19/10/2307

Internet

https://www.mdpi.com/1424-8220/19/10/2307

Similar Items