Title: A novel medical human-computer interaction platform based on Kinect depth image analysis refactoring and neural network

Authors: Xu Zhiqiang; Haidong Li; Jialiang He

Addresses: Sichuan University of Media and Communications, Chengdu, China ' Sichuan University of Media and Communications, Chengdu, China ' College of Information and Communication Engineering, Dalian Nationalities University, Dalian, China

Abstract: The high level of progress in science and technology has escalated the use of medical surgical products, equipped the modern medical operating room with all kinds of high-tech digital and intelligent development and these new technologies have introduced the traditional surgeons to new types of surgeries and helped them become more sensitive to changes in the body. More and more state-of-the-art technologies have been proposed to assist the doctors to optimise the operation environment. It is the purpose of the man-machine interface design to make the computer more intelligent so that it can do a wider range of work. For better capturing the gesture and inner information based on Kinect, we revise the traditional methodologies on depth image analysis refactoring and neural network to construct a new systematic implementation paradigm. The experiment shows that our idea outperforms the other latest methodologies.

Keywords: human-computer interaction; medical HCI; Kinect; depth images; neural networks; image analysis; medical images.

DOI: 10.1504/IJBET.2017.082671

International Journal of Biomedical Engineering and Technology, 2017 Vol.23 No.2/3/4, pp.315 - 334

Received: 08 Jun 2016
Accepted: 27 Jul 2016

Published online: 25 Feb 2017 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article