Funded Work

Projects of SIDLAB

SIDLAB explores human movement and performance through biomechanics, wearable innovation, anti-doping science, and data-driven methods—advancing both athletic excellence and everyday well-being.

Projects

Selected projects

Development of Sustainable High-Performance Running Footwear
National R&D

Development of Sustainable High-Performance Running Footwear

Driven by Zero-Bond technology for a sustainable future, this project focuses on the biomechanical evaluation and optimization of high-performance running footwear—enhancing comfort, durability, and athletic performance while reducing environmental impact.

2026.05.01–2028.04.01

Doc 3.0: AI-Powered Spine Prognosis Management Platform with Smart Exoskeleton
National R&D

Doc 3.0: AI-Powered Spine Prognosis Management Platform with Smart Exoskeleton

An AI-powered rehabilitation platform integrating smart exoskeletons, wearable sensing, and intelligent monitoring to support personalized spine care and long-term prognosis management.

2026.05.01–2028.12.31

Development of Intelligent Platform for Anti-Doping Management
National R&D

Development of Intelligent Platform for Anti-Doping Management

An AI-powered platform for intelligent anti-doping management, supporting risk assessment, real-time monitoring, and data-driven decision making.

2026.05.01–2028.12.31

Development of Assessment Tools for Doping Control Officer Competency Training

Development of Assessment Tools for Doping Control Officer Competency Training

Commissioned by KADA, this project developed evaluation items for enhancing doping control officer training.

2024.10.01–2025.12.01

Enhancement of Performance and Recovery through Custom 3D-Structured and Surface-Designed Insoles

Enhancement of Performance and Recovery through Custom 3D-Structured and Surface-Designed Insoles

A K2-commissioned project to improve performance and recovery through custom 3D-structured insoles.

2024.06.03–2024.07.01

Comprehensive Usability Evaluation of Custom 3D-Printed Insoles for Comfort Optimization

Comprehensive Usability Evaluation of Custom 3D-Printed Insoles for Comfort Optimization

Commissioned by K2, this project evaluated the usability and applicability of 3D-printed sports insoles.

2023.12.01–2023.12.31

Development of machine learning-based algorithm for detecting postural control deficiencies.

Development of machine learning-based algorithm for detecting postural control deficiencies.

A Hanyang University-funded study to develop ML-based algorithms for detecting postural control deficits.

2023.03.01–2023.04.01