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dy0908ky/README.md

Dongyoung Park

🎓 Biomedical Engineering Undergraduate at Kyung Hee University

I'm interested in Wearable AI, Biosignal Processing, Human-Robot Interaction, and Medical AI.

My main interest is in using wearable biosignals such as EMG and IMU to understand human states and movement intentions, and ultimately connecting them to intelligent human-centered robotic systems.

🔬 Research Interests

  • 🤖 Wearable AI & Human-Robot Interaction
  • 📈 EMG / IMU-based Biosignal Processing
  • 🦾 Human-Centered Robotics & Physical AI
  • 🩻 Medical Imaging & Biomedical Signal Processing
  • 🧠 Multimodal Healthcare AI

🚀 Featured Projects

🤖 Wearable Biosignals & Human-Robot Interaction

🦾 EMG BioFeedback Rehabilitation Game

A wearable surface EMG biofeedback prototype integrating biosignal acquisition, analog signal conditioning, embedded processing, personalized thresholding, and real-time gamified rehabilitation feedback.

EMG Biosignal Analog Front-End Arduino Embedded Systems Biofeedback

🩻 Medical Imaging & Biomedical Signal Processing

🖥️ DICOM Image Viewer

A Python-based medical image viewer supporting DICOM loading, pixel normalization, Otsu thresholding, spatial filtering, and GUI-based visualization.

DICOM Medical Imaging PyDICOM OpenCV Python


📊 DFT-IDFT Image Restoration

Frequency-domain image restoration implemented in C++ using direct 2D DFT/IDFT, custom complex arithmetic, spectrum analysis, and periodic noise filtering.

Digital Signal Processing Fourier Transform DFT IDFT C++

🧠 Healthcare & Multimodal AI

🐶 PetFit-AI

An AI-powered canine nutrition and health platform combining multimodal food-label analysis, personalized scoring, safety checks, feeding calculation, and veterinary search.

Multimodal AI Gemini API Healthcare AI Recommendation System JavaScript Electron

🎯 Current Direction

I am currently expanding my experience in wearable biosignal sensing and processing, with particular interest in AI-based estimation of human states and movement intentions.

My long-term goal is to explore how physiological and motion signals can be integrated into human-in-the-loop robotic systems, wearable robots, and intelligent assistive technologies.

At the same time, I am continuing to build my background in medical imaging, signal processing, and multimodal healthcare AI through coursework and personal projects.

⭐ Thanks for visiting my GitHub!

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  1. EMG-BioFeedback-rehabilitation-game EMG-BioFeedback-rehabilitation-game Public

    Wearable EMG biofeedback prototype integrating biosignal acquisition, analog signal conditioning, embedded processing, and gamified rehabilitation feedback.

    C++

  2. PetFit-AI PetFit-AI Public

    AI-powered canine nutrition & health platform with multimodal food-label analysis, personalized scoring, safety checks, feeding calculation, and vet search.

    HTML

  3. DICOM-Image-Viewer DICOM-Image-Viewer Public

    Python DICOM medical image viewer with pixel normalization, Otsu thresholding, spatial filtering, and Tkinter-based visualization.

    Python

  4. DFT-IDFT-Image-Restoration DFT-IDFT-Image-Restoration Public

    Frequency-domain image restoration in C++ using direct 2D DFT/IDFT, custom complex arithmetic, and periodic noise filtering

    C++