Joint angle estimation with wavelet neural networks
Abstract This paper presents a wavelet neural network (WNN) based method to reduce reliance on wearable kinematic sensors in gait analysis. Wearable kinematic sensors hinder real-time outdoor gait monitoring applications due to drawbacks caused by multiple sensor placements and sensor offset errors....
Guardado en:
Autores principales: | Saaveethya Sivakumar, Alpha Agape Gopalai, King Hann Lim, Darwin Gouwanda, Sunita Chauhan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b27142550d014fc5a411dcfbbe988761 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Quantification of muscles activations and joints range of motions during oil palm fresh fruit bunch harvesting and loose fruit collection
por: Yu Xuan Teo, et al.
Publicado: (2021) -
The effects of mechanical noise bandwidth on balance across flat and compliant surfaces
por: Jeshaiah Zhen Syuen Khor, et al.
Publicado: (2021) -
Research on improved convolutional wavelet neural network
por: Jingwei Liu, et al.
Publicado: (2021) -
Comparison Study of Electromyography UsingWavelet and Neural Network
por: Sadeem Nabeel Saleem, et al.
Publicado: (2008) -
Comparison Study of Electromyography Using Wavelet and Neural Network
por: Nebras Hussain Gheab, et al.
Publicado: (2019)