Cargando…
Nested Binary Classifier as an Outlier Detection Method in Human Activity Recognition Systems
The present article is devoted to outlier detection in phases of human movement. The aim was to find the most efficient machine learning method to detect abnormal segments inside physical activities in which there is a probability of origin from other activities. The problem was reduced to a classif...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453515/ https://www.ncbi.nlm.nih.gov/pubmed/37628151 http://dx.doi.org/10.3390/e25081121 |