Complex Human Activity Recognition Using a Local Weighted Approach

Keyphrases

• Diary 100%
• Single Sensor 100%
• Machine Learning Algorithms 100%
• Weighting Approach 100%
• Human Activity Recognition 100%
• Lifelogging 100%
• High-level Semantics 100%
• Complex Human Activities Recognition 100%
• Machine Learning Approach 50%
• Daily Life 50%
• Accelerometry 50%
• Accelerometer Signals 50%
• Sensor Systems 50%
• Construction Phase 50%
• Time Features 50%
• Home Environment 50%
• Ambient Assisted Living 50%
• Caregivers 50%
• General Health 50%
• Hybrid Structure 50%
• Locally Weighted 50%
• Life Expectancy 50%
• Tree Construction 50%
• Elderlies 50%
• Frequency Features 50%
• Weighted Random Forest 50%
• Signaling Domain 50%
• General Welfare 50%
• Local Weighting 50%
• Workforce Shortage 50%
• Mental Status 50%
• Efficient Machine Learning 50%
• Semantic Features 50%
• Ambient Assisted Living Systems 50%
• Complex Human Activity 50%
• Gender Recognition 50%
• Random Forest Machine Learning 50%
• Machine Learning Framework 50%
• Elderly Care Services 50%
• Random Tree 50%
• Automatically Tracking 50%

INIS

• machine learning 100%
• humans 100%
• applications 75%
• algorithms 75%
• levels 50%
• sensors 50%
• tracks 50%
• forests 50%
• randomness 50%
• datasets 50%
• environment 25%
• hybrids 25%
• cost 25%
• motion 25%
• accelerometers 25%
• accuracy 25%
• signals 25%
• shortages 25%

Computer Science

• Human Activity Recognition 100%
• Random Decision Forest 66%
• Machine Learning Algorithm 66%
• Ambient Assisted Living 66%
• Machine Learning Approach 33%
• Learning Framework 33%
• Frequency Feature 33%
• Proposed Application 33%
• Home Environment 33%
• Machine Learning 33%
• Learning System 33%