Human Action Recognition Using Deep Learning Methods on Limited Sensory Data

Keyphrases

• Deep Learning Methods 100%
• Accuracy Rate 100%
• Sensory Data 100%
• Human Action Recognition 100%
• Long-Short 100%
• Performance Analysis 66%
• 3-layer 66%
• Action Recognition 66%
• Time Application 33%
• Precision-recall 33%
• Gyroscope 33%
• F1 Score 33%
• Convolutional Neural Network 33%
• Human-robot Interaction 33%
• Accelerometer 33%
• Recall Score 33%
• Recognition System 33%
• Best Model 33%
• Data Augmentation 33%
• Memory Network 33%
• Data Balancing 33%
• Memory Models 33%
• UCI HAR 33%
• Popular 33%
• Precision Score 33%
• Classical Machine Learning Algorithms 33%

Computer Science

• Long Short-Term Memory Network 100%
• human action recognition 100%
• Action Recognition 100%
• Performance Analysis 100%
• Deep Learning Method 100%
• Recognition System 50%
• Machine Learning Algorithm 50%
• Real-Time Application 50%
• Human Robot Interaction 50%
• Data Augmentation 50%
• Memory Model 50%
• Convolutional Neural Network 50%
• New-State 50%
• Human Activity Recognition 50%
• Lstm 50%

Engineering

• Performance Analysis 100%
• Long Short-Term Memory 100%
• Human Action 100%
• Deep Learning Method 100%
• Metrics 50%
• Machine Learning Algorithm 50%
• Convolutional Neural Network 50%
• Lstm 50%