Smart phone based data mining for human activity recognition

Keyphrases

• Activity Recognition System 50%
• Automaticity 50%
• Continuous Monitoring 50%
• Daily Activity Monitoring 50%
• Data Analytics 50%
• Elderly People 50%
• Ensemble Learning 50%
• Feature Ranking 50%
• Healthcare Applications 50%
• Heterogeneous Sensors 50%
• Human Activities 50%
• Human Activity Recognition 100%
• Human Motion Monitoring 50%
• Inertial Sensors 50%
• Information Theory 50%
• Lazy Learning 50%
• MHealth Application 50%
• People with Special Needs (PwSN) 50%
• Physiological Signals 50%
• Publicly Available 50%
• Random Forest Ensemble 50%
• Ranking Algorithm 50%
• Sensor-based 50%
• Smartphone 100%
• Smartphone Inertial Sensors 50%
• Telephone-based 100%

Computer Science

• Activity Recognition 50%
• Application Scenario 50%
• Continuous Monitoring 50%
• Daily Activity 50%
• Data Analytics 50%
• Data Mining 100%
• Ensemble Learning 50%
• Human Activity Recognition 100%
• Information Theory 50%
• Physiological Signal 50%
• Random Decision Forest 50%
• Ranking Algorithm 50%
• Recognition System 50%