Using Domain Knowledge for Interpretable and Competitive Multi-Class Human Activity Recognition

Human activity recognition (HAR) has become an increasingly popular application of machine learning across a range of domains. Typically the HAR task that a machine learning algorithm is trained for requires separating multiple activities such as walking, running, sitting, and falling from each othe...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Sebastian Scheurer, Salvatore Tedesco, Kenneth N. Brown, Brendan O’Flynn
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2020-02-01
Serier:	Sensors
Fag:	human activity recognition machine learning wearable sensors inertial sensors multi-class classification hierarchical classification error-correcting output codes ensembles of nested dichotomies
Online adgang:	https://www.mdpi.com/1424-8220/20/4/1208
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!