Haptic classification and recognition of objects using a tactile sensing forearm

Keyphrases

• Forearm 100%
• Object Recognition 100%
• Object Classification 100%
• Haptics 100%
• Tactile Sensing 100%
• Feature Vector 75%
• Mechanical Properties 50%
• Large Surface Area 25%
• Contact Area 25%
• Contact Region 25%
• K-nearest 25%
• Classification Accuracy 25%
• Feature Selection 25%
• Contact Motion 25%
• Maximum Force 25%
• Vector-based 25%
• Tactile Sensor Array 25%
• Data Inference 25%
• Feature Scaling 25%
• Mechanical Objects 25%
• Manipulation Tasks 25%
• Property Recognition 25%
• Incidental Contact 25%
• Taxel 25%
• Selective Features 25%
• Neighbor Algorithm 25%
• Cross-validation Accuracy 25%

Computer Science

• Feature Vector 100%
• Robot 33%
• Classification Accuracy 33%
• Object Recognition 33%
• k-Nearest Neighbors Algorithm 33%
• Feature Selection 33%
• Feature Scaling 33%
• tactile sensor 33%
• Feature Extraction 33%
• Robotics 33%
• Cross-Validation 33%