Open AccessFaceAtlasAR: Atlas of Facial Acupuncture Points in Augmented Reality
Author(s) -
Menghe Zhang,
Jürgen P. Schulze,
Dong Zhang
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2021.110701
Subject(s) - computer science , artificial intelligence , augmented reality , process (computing) , context (archaeology) , computer vision , segmentation , face (sociological concept) , acupuncture , human–computer interaction , medicine , paleontology , social science , alternative medicine , pathology , sociology , biology , operating system
Acupuncture is a technique in which practitioners stimulate specific points on the body. Those points, called acupuncture points (or acupoints), anatomically define areas on the skin relative to specific landmarks on the body. However, mapping the acupoints to individuals could be challenging for inexperienced acupuncturists. In this project, we proposed a system to localize and visualize facial acupoints for individuals in an augmented reality (AR) context. This system combines a face alignment model and a hair segmentation model to provide dense reference points for acupoints localization in real-time (60FPS). The localization process takes the proportional bone (B-cun or skeletal) measurement method, which is commonly operated by specialists; however, in the real practice, operators sometimes find it inaccurate due to the skillrelated error. With this system, users, even without any skills, can locate the facial acupoints as a part of the self-training or self-treatment process.