Title :
Remote Neonatal Pain Assessment System Based on Internet of Things
Author :
Zhong, Yang ; Liu, Li
Author_Institution :
Dept. of Appl. Phys. & Electron., Umea Univ., Umea, Sweden
Abstract :
The Internet of Things has shown its unique advantages for medical services in the recent years. In this paper, we present a new idea of remote pain assessment system based on the Internet of Things. The system detects the pain feelings for infants through facial expression sensing. It tunnels a comprehensive and indispensable medical service via internet to any location. The system featuring ubiquitous connectivity and ambient intelligence provides reliable real-time pain level through facial expression in infants. It is reliable and cost efficient as well.
Keywords :
Internet; face recognition; medical image processing; paediatrics; Internet of things; ambient intelligence; facial expression sensing; infant; medical service; pain feelings; real-time pain level; remote neonatal pain assessment system; ubiquitous connectivity; Computers; Face; Internet; Pain; Pediatrics; Reliability; Wireless communication; Face Recognition; Internet of Thing; Pain Assessment; Remote; Wireless;
Conference_Titel :
Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1976-9
DOI :
10.1109/iThings/CPSCom.2011.116
