Engineering
Wearable Sensor
100%
Sensor Data
100%
Support Vector Machine
100%
Biomechanics
79%
Event Detection
62%
Deep Learning Method
62%
Classification Accuracy
58%
Running Speed
58%
Consistent Group
50%
Hierarchical Clustering
50%
Root-Mean-Squared Error
50%
Dimensionality
50%
Sagittal Plane
50%
Autoencoder
50%
Continuous Variable
50%
Angular Velocity ω
41%
Location Sensor
33%
Classification Performance
25%
Input Data
25%
Force Plate
25%
Reaction Force
25%
Gait Cycle
25%
Smart Device
16%
Event Step
12%
Contact Time
12%
Recurrent Neural Network
12%
Dorsiflexion
12%
Error Detection
12%
Input Feature
12%
Joint Kinematics
12%
Long Short-Term Memory
12%
Cluster Separability
5%
Dimensionality Reduction Technique
5%
Reconstructed Signal
5%
Computer Science
Dimensionality Reduction
100%
Hierarchical Clustering
100%
Classification Accuracy
75%
Support Vector Machine
75%
Autoencoder
50%
Support Vector Machine
50%
Clustering Result
50%
Neural Network
50%
Agreement Cluster
50%
Continuous Variable
50%
Identify Cluster
50%
clustering approach
50%
Linear Acceleration
50%
Angular Velocity
50%
Optimization Theory
50%
Component Analysis
50%
Principal Components
50%
Clustering Analysis
50%
Individual Variability
50%
Average Accuracy
25%
Smart Device
25%
Classification Performance
25%
Autoencoder
16%
Explained Variance
11%
Hierarchical Clustering
5%
Reconstructed Signal
5%
