Activity Recognition and Anomaly Detection in E-Health Applications Using Color-Coded Representation and Lightweight CNN Architectures

INIS

• applications 100%
• data 100%
• detection 100%
• architecture 100%
• color 100%
• humans 75%
• accuracy 75%
• prediction 50%
• industry 25%
• levels 25%
• size 25%
• devices 25%
• validation 25%
• datasets 25%
• neural networks 25%
• learning 25%
• metrics 25%

Computer Science

• Activity Recognition 100%
• Human Activity Recognition 100%
• Health Application 100%
• Convolutional Neural Network 100%
• Anomaly Detection 100%
• Data Representation 66%
• Electrocardiography 66%
• Portable Device 33%
• Experimental Result 33%
• Wearable Device 33%
• Neural Network Architecture 33%
• Deep Learning Model 33%
• Validation Technique 33%

Keyphrases

• Lightweight CNN Architecture 100%
• Flops 33%