Human Performance Laboratory

We are part of Department of Sports Medicine and Department of Software Convergence at Soonchunhyang University.

Our research aims to uncover the neuromuscular mechanisms underlying human movement in the context of sports, injuries, disease, and aging. We utilize advanced methodologies, including musculoskeletal modeling and simulation, time-frequency analysis, muscle synergy analysis, and brain signal processing, to gain deeper insights into movement dynamics. By bridging biomechanics and neuroscience, our work contributes to the development of evidence-based rehabilitation strategies and treatment approaches for individuals with neuromusculoskeletal disorders.

Musculoskeletal Simulation

We leverage OpenSim to estimate biomechanical variables that cannot be directly measured in experiments, including muscle forces, joint contact forces, muscle fascicle kinematics, and induced accelerations. This allows us to gain deeper insights into human movement mechanics beyond the limitations of traditional measurement techniques.

Neuromuscular Control

We investigate neuromuscular controls during dynamic human movements using fNIRS, time-frequency analysis and muscle synergy. These approaches provide critical insights into how the nervous system selectively controls different muscle fiber types and synergistic muscular coordination during movement, enhancing our understanding of neuromuscular function.

Foot and Ankle Biomechanics

We investigate biomechanical functions of the foot and ankle complex during various activities, including walking, landing, and jumping. By integrating experimental and simulation approaches, our research aims to better understand injury mechanisms and improve rehabilitation strategies for individuals with and without foot and ankle deficits.

Aging and Mobility

We explore how aging affects movement patterns, muscle recruitment, and joint mechanics during daily activities such as walking and sit-to-stand. Our research aims to identify age-related changes that contribute to mobility decline and to promote functional independence and reduce fall risk in older adults.

Rehabilitation Tool

We develop innovative rehabilitation tools, including mobile applications, to assess and enhance movement capabilities such as balance control. These technologies empower trainers, physical therapists, and healthcare providers by offering objective measurements and targeted training solutions to improve neuromuscular control and performance in athletes and patients.

Coordination Analysis

Using vector coding, we compute coupling angles and coordination states (e.g., in-phase/anti-phase) to characterize movement patterns. For Nordic walking and badminton, this approach provides actionable feedback to adjust timing and segment synergy, improving neuromuscular control and performance.

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Human Performance Laboratory

Department of Sports Medicine

Department of Software Convergence

Soonchunhyang University

South Korea