Constructing a Hybrid Interactive Learning-based Inference Mechanism for Homecare Robots and their Applications for Elderly Users and Patients with Diabetes
Principal Investigator | Jung-Hsien Chiang, Distinguished Professor Dept. of CSIE, NCKU
Co-Principal Investigator |
Ching-Ju, Chiu, Associate Professor Institute of Gerontology, NCKU
簡介
The emergence of an aging society has made long-term care of elderly people one of the primary concerns for families and modern society. The rapid development of interactions between robots and artificial intelligence has created increasingly diverse homecare services. For example, robots with functions such as healthcare and companionship can help people provide care to elderly family members (at home) or elderly people living alone. In medical care situations, robots can assist healthcare professionals in repetitive health education, thereby allowing medical staff to focus on the individual care required for patients and improving the overall quality of medical care. We suggest that efforts must be made to incorporate cloud robotics into artificial intelligence healthcare robots for the development of smart healthcare robots.
System Features
  • Suitable Health Education:Interactive Q&A System
  • Health Measurements:Bluetooth device can measure blood pressure and blood sugars
  • Recommendation System:entertainment recommendation such as news, movies, and music
  • HBOC Gene System:Users fill in the blanks and the system automaticall evaluates cancer risk
  • Cooperating Partners
  • Harvard University, USA
  • NCKU Hospital
  • ASUS
  • Great Tree Pharmacy
  • Contact info
    Tel:06-275-7575 ext.62534
    Mail:jchiang@mail.ncku.edu.tw