Human-computer interaction based interface design of intelligent health detection using PCANet and multi-sensor information fusion.

Journal: Computer methods and programs in biomedicine
Published Date:

Abstract

BACKGROUND AND OBJECTIVE: At present, because health monitoring using human-computer interaction (HCI) has become a demand in society, an intelligent health detector with HCI characteristics is urgently needed. Our device and software framework can provide natural human-machine interaction and facilitate the use of effective, efficient and safe electronic equipment for health detection. This paper integrates the research results of human subjects testing with analysis of our computational algorithms to build the proposed interaction platform.

Authors

  • Senzhong Gan
    Institute of Creativity and Innovation Xiamen University, Zhangzhou Campus, Fujian, 363105, China. Electronic address: gansenzhong@xmu.edu.cn.
  • Qingbin Zhuang
    Fine Art and Design College, Quanzhou Normal University, Quanzhou 362000, China.
  • Bingyan Gong
    Fine Art and Design College, Quanzhou Normal University, Quanzhou 362000, China.