Challenges and trends in multimodal fall detection for healthcare

This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion. It includes theory and coding implementations to help readers quickly grasp...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ponce, Hiram (Editor), Martínez-Villaseñor, María de Lourdes (Editor), Brieva, Jorge (Editor), Moya-Albor, Ernesto (Editor)
Format: eBook
Language:English
Published: Cham : Springer, 2020.
Cham : 2020.
Series:Studies in systems, decision and control ; v. 273.
Physical Description:
1 online resource (263 pages).
Subjects:
Biosensors.
Falls (Accidents) in old age.
Biomedical engineering.
Online Access:SpringerLink - Click here for access
Holdings details from CMU Electronic Access C502
Copy 1 CMU Electronic Access Available

Internet

SpringerLink - Click here for access

Similar Items