Wearable Sensor-Based Human Activity Recognition via Two-Layer Diversity-Enhanced Multiclassifier Recognition Method

Wearable Sensor-Based Human Activity Recognition via Two-Layer Diversity-Enhanced Multiclassifier Recognition Method

Sensor-based human activity recognition can benefit a variety of applications such as health care, fitness, smart homes, rehabilitation training, and so forth. In this paper, we propose a novel two-layer diversity-enhanced multiclassifier recognition method for single wearable accelerometer-based hu...

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Bibliographic Details
Main Authors: Yiming Tian, Xitai Wang, Lingling Chen, Zuojun Liu
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
activity recognition
wearable sensor
kernel Fisher discriminant analysis
classifier ensembles
multiclassifier design and evaluation
Online Access:https://www.mdpi.com/1424-8220/19/9/2039

Internet

https://www.mdpi.com/1424-8220/19/9/2039

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