Classification of Activities of Daily Living for Older Adults Using Machine Learning and Fixed Time Windowing Technique

Keyphrases

• Machine Learning 100%
• Older Adults 100%
• Activities of Daily Living 100%
• Classification Methods 100%
• Sensor Event 100%
• Windowing Techniques 100%
• Time Windowing 100%
• Activity Classification 100%
• Caregivers 50%
• Behavior Change 50%
• Machine Learning Techniques 50%
• Risk Change 50%
• Healthcare Professionals 50%
• Number of Sensors 50%
• Support Vector Machine 50%
• Best Model 50%
• Random Forest 50%
• Risk Level 50%
• Realistic Scenario 50%
• Human Activities 50%
• Privacy Concerns 50%
• Specific Activity 50%
• Identify Risk 50%
• Machine Learning Classification 50%
• Sensor Type 50%
• Smart Home 50%
• Unobtrusive Sensors 50%
• Proposal Classification 50%
• Spatio-temporal Features 50%
• Fixed Window 50%
• XGBoost 50%
• Aruba 50%
• Better Performance 50%

INIS

• classification 100%
• adults 100%
• machine learning 100%
• sensors 100%
• datasets 60%
• accuracy 40%
• information 20%
• risks 20%
• solutions 20%
• evaluation 20%
• humans 20%
• vectors 20%
• performance 20%
• randomness 20%
• forests 20%

Computer Science

• Classification Technique 100%
• Windowing 100%
• Machine Learning 100%
• Learning System 100%
• Machine Learning Technique 33%
• Random Decision Forest 33%
• Extreme Gradient Boosting 33%
• Risk Situation 33%
• Health Professionals 33%
• Support Vector Machine 33%