Deep CNN-GRU based human activity recognition with automatic feature extraction using smartphone and wearable sensors

Keyphrases

• Wearable Sensors 100%
• Unit-based 100%
• Convolutional Neural Network 100%
• Deep Convolutional Neural Network (deep CNN) 100%
• Human Activity Recognition 100%
• Gated Recurrent Unit 100%
• Automatic Feature Extraction 100%
• Smartphone Sensors 100%
• Feature Extraction 33%
• Model Use 33%
• Challenge-based 33%
• Everyday Activities 33%
• Recognition System 33%
• Model Performance 33%
• Accuracy Rate 33%
• Feature Map 33%
• Feature Representation 33%
• Deep Learning Model 33%
• Label-only 33%
• InTe 33%
• Classification Standard 33%
• Activity Detection 33%
• Gated Recurrent Unit Model 33%
• Learning Recognition 33%

Computer Science

• Convolutional Neural Network 100%
• Gated Recurrent Unit 100%
• Human Activity Recognition 100%
• Feature Extraction 100%
• Recognition System 25%
• Performance Model 25%
• Deep Learning Model 25%
• Derived Attribute 25%
• Feature Map 25%

Engineering

• Recurrent 100%
• Feature Extraction 100%
• Wearable Sensor 100%
• Convolutional Neural Network 100%
• Deep Learning Method 25%