Computer Science
Shape Recognition
100%
Object Recognition
91%
Robot
84%
User
56%
Robotics
50%
Haptic Feedback
50%
Recognition Rate
50%
tactile sensing
50%
Transparent Object
50%
haptic interaction
50%
de-noising
50%
Virtual Environments
50%
Point Cloud
45%
Deep Architecture
33%
Pose Estimation
33%
Classifier
33%
Learning Framework
33%
Tumor Detection
25%
Evaluation Study
16%
Algorithms
16%
Deep Learning Model
16%
Recognition Performance
16%
Traditional Method
16%
Attention (Machine Learning)
16%
Reinforcement Learning
16%
Domain Adaptation
16%
Position-Sensor
12%
Training Phase
12%
Links
12%
videogame
12%
Feedback Device
12%
Force-Feedback
12%
Multiple Finger
12%
Time Efficiency
12%
Tablet Computer
6%
Performance Indicator
6%
Input Device
6%
Computer Device
6%
Desktop Computer
6%
Invasive Surgery
6%
Performance Measure
6%
Root Mean Squared Error
5%
Engineering
Sensor
50%
Pneumatics
50%
Haptics
50%
Object Shape
50%
Denoising Autoencoders
50%
Acoustics
50%
Point Cloud
33%
Principal Axis
33%
Elements
29%
Characteristics
25%
Detection Sensitivity
25%
Tactile Data
16%
Sensor Array
16%
Geometric Feature
16%
Pressure Data
16%
Robot Hand
16%
High Accuracy
12%
Model Parameter
12%
Sensor Data
12%
Force Feedback
12%
Direct Correlation
12%
