Cargando…
How Validation Methodology Influences Human Activity Recognition Mobile Systems
In this article, we introduce explainable methods to understand how Human Activity Recognition (HAR) mobile systems perform based on the chosen validation strategies. Our results introduce a new way to discover potential bias problems that overestimate the prediction accuracy of an algorithm because...
Autores principales: | Bragança, Hendrio, Colonna, Juan G., Oliveira, Horácio A. B. F., Souto, Eduardo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8954513/ https://www.ncbi.nlm.nih.gov/pubmed/35336529 http://dx.doi.org/10.3390/s22062360 |
Ejemplares similares
-
A Smartphone Lightweight Method for Human Activity Recognition Based on Information Theory
por: Bragança, Hendrio, et al.
Publicado: (2020) -
Human Activity Recognition Based on Symbolic Representation Algorithms for Inertial Sensors
por: Sousa Lima, Wesllen, et al.
Publicado: (2018) -
Android malware detection with MH-100K: An innovative dataset for advanced research
por: Bragança, Hendrio, et al.
Publicado: (2023) -
MBOSS: A Symbolic Representation of Human Activity Recognition Using Mobile Sensors
por: Montero Quispe, Kevin G., et al.
Publicado: (2018) -
Indoor Positioning System Using Dynamic Model Estimation
por: Assayag, Yuri, et al.
Publicado: (2020)