AI Marks Acupuncture Points for Patients... Pukyong National University Undergraduates Receive Excellence Award at Korea Multimedia Society Conference

Student Hwang Siwon from the Department of Biomedical Engineering IT Convergence at Pukyong National University is taking a commemorative photo after receiving the Excellent Paper Presentation Award from the Korean Society for Media Communication.

[Asia Economy Yeongnam Reporting Headquarters Reporter Hwang Du-yeol] Hwang Si-won, a student majoring in Biomedical Engineering IT Convergence at Pukyong National University, received the Excellent Paper Presentation Award at the Korean Multimedia Society Undergraduate Poster Paper Presentation Contest.

Hwang Si-won recently presented the paper titled "Development of a Method to Indicate Acupuncture Point Locations Using Generative Models" at the 2022 Fall Conference of the Korean Multimedia Society.

The paper attracted attention by proposing the application of an artificial intelligence (AI) technique, the GAN (Generative Adversarial Network) model, to indicate acupuncture point locations, aiming to enhance the objectivity of traditional Korean medicine treatments and systematize treatment techniques through various recent studies.

In the paper, he used the ‘Pix2Pix’ and ‘CycleGAN’ models, which are GAN models based on image translation algorithms, to indicate five acupuncture points located on the arm: Gokji, Susamni, Oegwan, Jungjeo, and Hapgok.

By inputting images of body parts such as a bare arm using this method, the system finds the standard acupuncture point locations customized for each patient and marks them with white dots. The final generated images showed differences depending on the model used.

Hwang Si-won said, “If acupuncture point locations are indicated using AI models, it will provide objective indicators for acupuncture point locations, increase accessibility to traditional Korean medicine, and be highly useful in medical practice and education in traditional Korean medicine.”

Hwang Si-won achieved this research outcome as part of the project "Development of an ICT-integrated Acupuncture Treatment Convergence System Based on Core Technology for Acupuncture Point Stimulation Diagnosis," conducted by the Department of Smart Healthcare at Pukyong National University.

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