MedicineEngineeringComputer Science
Kibum Kim, Ahmad Jalal, Maria Mahmood
tlooto Summary
This study proposes a depth video-based HAR system to utilize skeleton joints features which recognize daily activities of elderly people in indoor environments and results show superior recognition rate.
Abstract
Abstract is not available.
Citation format
KIM, Kibum; JALAL, Ahmad; MAHMOOD, Maria. Vision-based human activity recognition system using depth silhouettes: A smart home system for monitoring the residents. Journal of Electrical Engineering & Technology, 2019, 14: 2567–2573.