Support vector machines for automated gait classification.
about
Classifying lower extremity muscle fatigue during walking using machine learning and inertial sensorsIdentification of functional parameters for the classification of older female fallers and prediction of 'first-time' fallersA Validated Smartphone-Based Assessment of Gait and Gait Variability in Parkinson's Disease.Grasps recognition and evaluation of stroke patients for supporting rehabilitation therapyShotgun approaches to gait analysis: insights & limitations.Exploring sampling in the detection of multicategory EEG signals.A comparative study on approximate entropy measure and poincaré plot indexes of minimum foot clearance variability in the elderly during walking.A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington's Disease Patients.Real-Time Classification of Patients with Balance Disorders vs. Normal Subjects Using a Low-Cost Small Wireless Wearable Gait Sensor.Biofeedback training effects on minimum toe clearance variability during treadmill walking.The novel quantitative technique for assessment of gait symmetry using advanced statistical learning algorithm.Epileptic seizure detection from EEG signals using logistic model trees.Classifying clinical notes with pain assessment using machine learning.Selection of gait parameters for differential diagnostics of patients with de novo Parkinson's disease.Support vector machines categorize the scaling of human grip configurations.Analysis of Big Data in Gait Biomechanics: Current Trends and Future Directions.Understanding ageing effects using complexity analysis of foot-ground clearance during walking.Gait Recognition: Databases, Representations, and ApplicationsAN EFFICIENT SPATIO-TEMPORAL GAIT REPRESENTATION FOR GENDER CLASSIFICATIONCombination of Accumulated Motion and Color Segmentation for Human Activity AnalysisUser Daily Activity Classification from Accelerometry Using Feature Selection and SVMGait Recognition Based on Invariant Leg Classification Using a Neuro-Fuzzy Algorithm as the Fusion Method"You can tell by the way I use my walk." Predicting the presence of cognitive load with gait measurementsAmbulatory Monitoring of Physical Activity Based on Knee Flexion/Extension Measured by Inductive Sensor Technology
P2860
Q23914854-3712669A-0F40-4222-834E-2B7747A75623Q28396470-3A5D10E6-5F60-44F5-AAFF-24B5D7750F74Q30399320-7DD72992-E2DE-4DCE-8F12-28C6AE69E41AQ34203469-A0A74EEE-A1B6-440E-ADFD-C0C46A60DCFAQ34578907-BB84AB49-0AB4-43B3-9170-6DF91CB5DA1EQ35568156-A45CBC94-8CED-4E3E-9D68-926157E17BE7Q36499599-AC1704A8-2D7D-438C-BE02-53DF081D7879Q36518130-15E4C8BF-0199-475C-893D-777154B195EBQ37539269-78CC36C8-CE20-4EC0-B06D-DEF5E21567A0Q39536718-D3E408CC-8E22-4CB7-85F1-BDB286F960DDQ41369122-F3B519CB-F0B1-450E-9471-6F68DA750BBEQ42571481-01CB8C8C-E3DC-4B6A-AEAE-A3ACFD9E2361Q47172942-E917713D-7C33-4459-A8CC-A951A5A73F93Q47666703-4652CBF5-FFD5-4224-9779-BD2F1F4F4B37Q51897124-3A2CD3D1-57EE-4220-A404-A0B5933600D4Q52579283-A22F6832-E005-49BA-A542-934EEE9E9F8DQ53674444-2279A399-AE8D-4146-AC6A-E9B2D111518EQ57724088-111EA405-2C0B-4551-9BFF-79DD27BB1D9BQ58253445-097C8905-7D30-4E35-A324-4358A9F9E033Q58614647-C3196ACA-1A71-4C6F-B7C4-01F67CB456E5Q58656609-34BCC235-A97C-4487-9D02-48FDF31A2BEAQ58690697-ED28A61C-6EE3-44B7-86A0-7BF9A9EEFAABQ58748217-B88057A3-3F31-4970-A113-BD30DB5B59B8Q59000425-F53486A6-B7BE-4983-AFAD-4E94244C97E5
P2860
Support vector machines for automated gait classification.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年学术文章
@wuu
2005年学术文章
@zh
2005年学术文章
@zh-cn
2005年学术文章
@zh-hans
2005年学术文章
@zh-my
2005年学术文章
@zh-sg
2005年學術文章
@yue
2005年學術文章
@zh-hant
name
Support vector machines for automated gait classification.
@en
Support vector machines for automated gait classification.
@nl
type
label
Support vector machines for automated gait classification.
@en
Support vector machines for automated gait classification.
@nl
prefLabel
Support vector machines for automated gait classification.
@en
Support vector machines for automated gait classification.
@nl
P356
P1476
Support vector machines for automated gait classification.
@en
P2093
Brendan Owen
Marimuthu Palaniswami
P304
P356
10.1109/TBME.2005.845241
P577
2005-05-01T00:00:00Z