Cargando…
Joint angle estimation with wavelet neural networks
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. The prop...
Autores principales: | Sivakumar, Saaveethya, Gopalai, Alpha Agape, Lim, King Hann, Gouwanda, Darwin, Chauhan, Sunita |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119494/ https://www.ncbi.nlm.nih.gov/pubmed/33986396 http://dx.doi.org/10.1038/s41598-021-89580-y |
Ejemplares similares
-
Parkinson’s Disease Diagnosis and Severity Assessment Using Ground Reaction Forces and Neural Networks
por: Veeraragavan, Srivardhini, et al.
Publicado: (2020) -
Estimation of Lower Extremity Muscle Activity in Gait Using the Wearable Inertial Measurement Units and Neural Network
por: Khant, Min, et al.
Publicado: (2023) -
Sit-to-walk strategy classification in healthy adults using hip and knee joint angles at gait initiation
por: Perera, Chamalka Kenneth, et al.
Publicado: (2023) -
Muscles Affecting Minimum Toe Clearance
por: Perera, Chamalka Kenneth, et al.
Publicado: (2021) -
Quantification of muscles activations and joints range of motions during oil palm fresh fruit bunch harvesting and loose fruit collection
por: Teo, Yu Xuan, et al.
Publicado: (2021)