Validation of Inter-Subject Training for Hidden Markov Models Applied to Gait Phase Detection in Children with Cerebral Palsy
about
Gait Partitioning Methods: A Systematic ReviewLearning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks.QUEST: Eliminating Online Supervised Learning for Efficient Classification Algorithms.Gait Phase Recognition for Lower-Limb Exoskeleton with Only Joint Angular Sensors.In Memoriam: Paolo Cappa.Measuring Gait Quality in Parkinson's Disease through Real-Time Gait Phase Recognition.
P2860
Validation of Inter-Subject Training for Hidden Markov Models Applied to Gait Phase Detection in Children with Cerebral Palsy
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年学术文章
@wuu
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
@zh
2015年學術文章
@zh-hant
name
Validation of Inter-Subject Tr ...... n Children with Cerebral Palsy
@en
type
label
Validation of Inter-Subject Tr ...... n Children with Cerebral Palsy
@en
prefLabel
Validation of Inter-Subject Tr ...... n Children with Cerebral Palsy
@en
P2860
P50
P356
P1433
P1476
Validation of Inter-Subject Tr ...... n Children with Cerebral Palsy
@en
P2093
Paolo Cappa
P2860
P304
24514-24529
P356
10.3390/S150924514
P407
P577
2015-09-23T00:00:00Z