Cargando…
An Information Gain-Based Model and an Attention-Based RNN for Wearable Human Activity Recognition
Wearable sensor-based HAR (human activity recognition) is a popular human activity perception method. However, due to the lack of a unified human activity model, the number and positions of sensors in the existing wearable HAR systems are not the same, which affects the promotion and application. In...
Autores principales: | Liu, Leyuan, He, Jian, Ren, Keyan, Lungu, Jonathan, Hou, Yibin, Dong, Ruihai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700115/ https://www.ncbi.nlm.nih.gov/pubmed/34945941 http://dx.doi.org/10.3390/e23121635 |
Ejemplares similares
-
An Energy-Efficient Fall Detection Method Based on FD-DNN for Elderly People
por: Liu, Leyuan, et al.
Publicado: (2020) -
A novel attention-based hybrid CNN-RNN architecture for sEMG-based gesture recognition
por: Hu, Yu, et al.
Publicado: (2018) -
Automatic cardiac arrhythmias classification using CNN and attention‐based RNN network
por: Sun, Jie
Publicado: (2023) -
Long short-term memory RNN for biomedical named entity recognition
por: Lyu, Chen, et al.
Publicado: (2017) -
Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution
por: Wu, Binrong, et al.
Publicado: (2022)