Sensor-Based Activity Recognition Using Frequency Band Enhancement Filters and Model Ensembles

Deep learning methods are widely used in sensor-based activity recognition, contributing to improved recognition accuracy. Accelerometer and gyroscope data are mainly used as input to the models. Accelerometer data are sometimes converted to a frequency spectrum. However, data augmentation based on...

Descripción completa

Detalles Bibliográficos
Autores principales: Tsutsumi, Hyuga, Kondo, Kei, Takenaka, Koki, Hasegawa, Tatsuhito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919843/
https://www.ncbi.nlm.nih.gov/pubmed/36772504
http://dx.doi.org/10.3390/s23031465

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919843/
https://www.ncbi.nlm.nih.gov/pubmed/36772504
http://dx.doi.org/10.3390/s23031465

Ejemplares similares