Engineering
Robot
100%
Joints (Structural Components)
81%
Gait Recognition
39%
Convolutional Neural Network
26%
Inertial Measurement
26%
Units of Measurement
26%
Feature Extraction
23%
Swing Phase
22%
Angle Joint
20%
Support Vector Machine
20%
Human Motion
20%
Recognition Accuracy
20%
Interaction Force
17%
Good Performance
17%
Pattern Recognition
16%
Control Strategy
15%
Hybrid Position-Force Control
15%
Simulation Result
13%
Design Analysis
13%
Learning Approach
13%
Body Surface
13%
Backpropagation Algorithm
13%
Stored Energy
13%
Brain-Computer Interface
13%
Gravity Load
13%
Using Sensor
13%
Control Field
13%
Decoding Algorithm
13%
Deep Learning
13%
End Effector
13%
Multisensor System
13%
Sensor Fusion
13%
Plantarflexion
13%
Relational
13%
Construction Method
13%
Finite-State Machine
13%
Optimal Combination
13%
Position Control
13%
Torque Motor
13%
Particle Swarm Optimization
13%
Muscle Activity
13%
Practical Significance
13%
Engineering
13%
Stance Phase
13%
Closed Loop Control
13%
Gait Pattern
13%
Preliminary Analysis
13%
Component Analysis
13%
Principal Components
13%
Greedy Algorithm
13%
Computer Science
Motion Pattern
33%
Human Motions
33%
Pattern Recognition
31%
Convolutional Neural Network
26%
Feature Extraction
20%
Support Vector Machine
15%
Recognition Accuracy
13%
Computer Interface
13%
Decoding Algorithm
13%
back-propagation neural network
13%
Feature Dimension
13%
Source Information
13%
improved particle swarm optimization
13%
Prediction Time
13%
Electromyography
13%
Multi-Classifiers
11%
Support Vector Machine
8%
Robot
8%
Machine Recognition
6%
noise signal
6%
Healthy Subject
6%
External Control
6%
Graph Theory
6%
Decoding Performance
6%
