eChaperone Computer Vision Application in Healthcare Analytics

Providing high quality healthcare service is important in a society not only for the patients but also for their families and friends, who devote time to take care of their loved ones. In order to meet the healthcare demands of citizens, especially for the baby booming generation, an increasing number of long term care facilities are necessary. There are many challenges to run these facilities to ensure safety and care compliance. The echaperone project will apply state-of-the-art computer vision and machine learning techniques in video analytics. The goal is to monitor residents safety and alert the facility management when suspicious events occur, while at the same time protecting the residents privacy. The echaperone alert system will also be available on mobile devices so that authorized supervisors, families or friends can be informed just-in-time if attention is needed. TO BE CONT’D

Faculty Supervisor:

Irene Cheng

Student:

Xuping Fang

Partner:

eChaperone.AI

Discipline:

Computer science

Sector:

Medical devices

University:

Program: