Real-time patient monitoring and fall detection using pose estimation and time sequence models

Real-time patient monitoring and fall detection using pose estimation and time sequence models

Opis bibliograficzny
1. autor: Suarez, Jessie James P. (Autor)
Kolejni autorzy: Naval, Prospero C. Jr (adviser.)
Format: Praca dyplomowa
Język:English
Wydane: Quezon City College of Engineering, University of the Philippines Diliman 2022.
Hasła przedmiotowe:
Human activity recognition.
Artificial intelligence.
Computer vision.
Deep learning (Machine learning) .
Image processing.
Machine learning.
Neural networks (Computer science)
Dostęp online:Abstract