Minwoo Seong

Minwoo Seong

Ph.D. Candidate in Artificial Intelligence

Human-centered intelligent systems

Interactive Technologies for Self-Directed Sports Practice

I design and study interactive technologies for self-directed sports practice. My goal is to help people understand their movements and make informed decisions about how to practice. My experience spans collecting multimodal datasets, developing training systems with wearable sensing and extended reality (XR), and evaluating these systems through user studies.

I am a Ph.D. candidate at the Human-Centered Intelligent Systems Lab at the Gwangju Institute of Science and Technology, advised by Prof. SeungJun Kim.

Research trajectory

Selected Publications

Six works on sensing, modeling, and coaching physical skills, with a broader application of multimodal human sensing.

Visual summary for MultiSenseGolf: A Multimodal Sensor-Based Dataset for Golf Swing Motion and Shot Performance Analysis
2026 Accepted Co-author

MultiSenseGolf: A Multimodal Sensor-Based Dataset for Golf Swing Motion and Shot Performance Analysis

Scientific Data (accepted 22 October 2026)

Visual summary for LEGOLAS: Learning & Enhancing Golf Skills through LLM-Augmented System
2025 Published Co-author

LEGOLAS: Learning & Enhancing Golf Skills through LLM-Augmented System

CHI Late-Breaking Work

An LLM-augmented system for understanding and supporting golf skill learning.

Paper
Visual summary for Counterfactual Explanation-Based Badminton Motion Guidance Generation Using Wearable Sensors
2024 Published Lead author

Counterfactual Explanation-Based Badminton Motion Guidance Generation Using Wearable Sensors

IEEE ICRA Workshop on Wearable Robotics

Wearable-sensor-based counterfactual explanations translate performance differences into actionable badminton motion guidance.

Paper Demo
Visual summary for Engagnition: A Multi-Dimensional Dataset for Engagement Recognition of Children with Autism Spectrum Disorder
2024 Published Lead author Equal contribution

Engagnition: A Multi-Dimensional Dataset for Engagement Recognition of Children with Autism Spectrum Disorder

Scientific Data 11, 299

A multidimensional dataset for recognizing the engagement of children with autism spectrum disorder.

Paper Code Studies using this dataset →
Visual summary for MultiSenseBadminton: Wearable Sensor-Based Biomechanical Dataset for Evaluation of Badminton Performance
2024 Published Lead author

MultiSenseBadminton: Wearable Sensor-Based Biomechanical Dataset for Evaluation of Badminton Performance

Scientific Data 11, 343

A multimodal wearable biomechanical dataset for capturing and evaluating badminton performance.

Data Paper Code Studies using this dataset →
Visual summary for MuLMINet: Multi-Layer Multi-Input Transformer Network with Weighted Loss
2023 Published Lead author Equal contribution

MuLMINet: Multi-Layer Multi-Input Transformer Network with Weighted Loss

IJCAI CoachAI Badminton Challenge

Award: Runner-Up (Rank 2)

A multi-layer, multi-input transformer for data-driven badminton challenge modeling.

Paper Code
View all selected publications →

Honors, Awards, and Scholarships

  • 2026 — Special Recognitions for Outstanding Reviews, CHI 2027 Papers (3 recognitions)
  • 2025 GIST RA Scholarship (Outstanding Doctoral Student) — Dec. 2025
    GIST Scholarship.
  • 2024 Top-Student Award — Dec. 2024
    GIST Scholarship.
  • KCC 2024 Honorable Mention Award in Undergraduate Division — Jul. 2024
    Awarded for Badminton Swing Posture Analysis and Visualization Using Deep Learning-Based Encoder-Decoder Architecture.
  • CHI 2024 Honorable Mention Award (Top 5%) — May 2024
    Awarded for ErgoPulse: Electrifying Your Lower Body With Biomechanical Simulation-based Electrical Muscle Stimulation Haptic System in Virtual Reality.
  • IJCAI CoachAI Badminton Challenge 2023 Runner-Up (Rank 2) — Aug. 2023
    Awarded for MuLMINet: Multi-Layer Multi-Input Transformer Network with Weighted Loss.
  • KCC 2022 Best Paper Award — First Place (Top 3%) — Jun. 2022
    Awarded for VR Interface Design to Improve Grasping Experience in Block Stacking Activities in Virtual Environments.

Academic Service

Reviewer

Conferences and Workshops

  • ACM CHI 2027 — Papers
  • ACM UIST 2026 — Papers
  • ACM CHI 2026 — Posters
  • ACM CHI 2025 — Late Breaking Work
  • UbiComp/ISWC I4U Workshop 2024

Journals

  • Computer Methods in Biomechanics and Biomedical Engineering (2026)
  • Discover Artificial Intelligence (2025–2026)
  • International Journal of Dynamics and Control (2026)
  • Scientific Data (2026)
  • Virtual Reality (2026)
  • Discover Applied Sciences (2025)
  • Frontiers in Sports and Active Living (2025)
  • Scientific Reports (2025)

Organizing Committee

  • UbiComp 2024 Workshop (I4U) — Organizing Committee Member
    Interpretable, Inclusive, and Immersive Interactions with Ubiquitous AI-infused Physical Systems

Student Volunteer

  • IEEE ISMAR 2025

Education

Ph.D. Candidate, Artificial IntelligenceGwangju Institute of Science and Technology
M.S., Intelligent RoboticsGwangju Institute of Science and Technology
B.S., Mechanical EngineeringGwangju Institute of Science and Technology

Last updated: 2026-11-06