The 57th KIEE Summer Conference 2026

A study on ultrasound-smart mirror fusion technology for personalized body fat management

Dongmin Son, Jeonghyun Lee, Hyeongrok Ryu, Heechul Yoon

Co-author · 3/4 Conference proceedings
First page of the ultrasound–smart-mirror paper, with four authors and proceedings page 33
First page rendered from the supplied PDF · pp. 33–34 · co-author Hyeongrok Ryu (3/4)
Venue and date
The 57th KIEE Summer Conference 2026 · July 8–11, 2026
Location
Yongpyong Resort, Pyeongchang, Gangwon-do, Republic of Korea
Publication type
Conference Proceedings Paper
Pages
33–34
Publication date
2026.07.08
My role
Co-author · third of four authors

Abstract

A system that derives subcutaneous-fat and muscle thickness from abdominal B-mode ultrasound boundaries and displays measurement guidance and results on a smart mirror.

Research Problem

Abdominal-ultrasound tissue-boundary analysis with location guidance and result visualization for repeated personal measurements.

System Architecture

Abdominal ultrasound → ROI and boundary enhancement → tissue boundaries and thickness calculation → smart-mirror guidance and visualization.

Methodology

Measurement location: 1 cm above the umbilicus. Image depth and pixel spacing convert boundary distances into millimeters.

Results

Initial implementation: tissue-boundary overlays, fat/muscle thickness, and fat-to-muscle ratio. Figure 3 is a UI example; Figure 4 is an initial implementation result.

Study scope

Scope: proposed system and initial implementation. Follow-up evaluation: repeatability across participants and measurement conditions.

BibTeX

@inproceedings{ryu2026kiee2026ultrasoundsmartmirror,
  title={ A study on ultrasound-smart mirror fusion technology for personalized body fat management },
  author={ Dongmin Son and Jeonghyun Lee and Hyeongrok Ryu and Heechul Yoon },
  booktitle={ The 57th KIEE Summer Conference 2026 },
  year={ 2026 },
  pages={ 33–34 }
}

KIEE 2026 Summer Conference proceedings, pp. 33–34. Hyeongrok Ryu is the third of four authors.

Original paper PDF · ViScan project

Publication first-page preview