ARAcupoint - Illustrating acupoints on own face with augmented reality technology
Refereed conference paper presented and published in conference proceedings


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AbstractFace acupoints are the specific sites where needles or finger pressures could be applied for health-keeping or therapeutic purposes as proposed in the Chinese Medicine Theory. While teaching of these acupoints are usually demonstrated with student models limitedly in classroom, our team explored the use of Real-time Face Augmented Reality (Face AR) technology to allow self-learning of face acupoint with the own face of the learner. In the pilot scheme we have created the prototype of a digital face mask with learning contents including face meridian and acupoint are produced with Lens Studio and shared in Snapchat, a social media app. Two groups of students, including secondary school students with no prior knowledge in acupuncture, and Chinese Medicine major students who are practicing acupuncture, were invited for product trial. It is found that (1) Students enjoyed and found it easier to learn the location of acupoints by taking selfie (2) Chinese Medicine students found it possible to check site of needling insertion matches the point as in the face mask. It is reveal that the learning content based on Face AR technique could enhance self-learning of both public and professional education. The team is exploring further possibility to include more face related learning content in terms of various disciplines.

Acknowledgement: This pilot study is sponsored by EdVant (edvant.net). Thanks to secondary school students from STFA Seaward Woo College for participation.
All Author(s) ListCHUNG Wai Yeung, LO Ka Yin, WONG Wai Kai, LEE Kit Ying Rebecca, POON Hong Kit
Name of ConferenceCUHK Teaching and Learning Innovation Expo 2018
Start Date of Conference07/12/2018
End Date of Conference07/12/2018
Place of ConferenceHong Kong
Country/Region of ConferenceHong Kong
Year2018
Month12
LanguagesEnglish-United States
KeywordsAcupuncture, Chinese Medicine, Acupoint, Face Recognition, Augmented Reality

Last updated on 2019-12-02 at 12:51