Prediction of human actions in assembly process by a spatial-temporal end-to-end learning model

Keyphrases

• Human Action 100%
• Spatial-temporal 100%
• Learning Model 100%
• Assembly Process 100%
• Human Action Prediction 100%
• Human Demonstration 66%
• History Information 66%
• Experiment Results 33%
• Action-based 33%
• Predicting the Future 33%
• Deep Learning Framework 33%
• Assembly Task 33%
• Human-robot Collaboration 33%
• Vision-based 33%
• Human Motion 33%
• Complex Applications 33%
• Handcrafted Features 33%
• Adequate Knowledge 33%
• Model Vehicle 33%
• Vehicle Seat 33%
• Short Video Clips 33%
• Safety Issues 33%
• Intuitive Knowledge 33%
• Autoencoder 33%
• Spatial-temporal Features 33%

Computer Science

• History Information 100%
• Temporal Feature 50%
• Traditional Method 50%
• Learning Framework 50%
• Human-Robot Interaction 50%
• Human Motions 50%
• Recurrent Neural Network 50%
• Deep Learning Method 50%
• Autoencoder 50%