Ajay Seth

The paper develops SiMPLeSENSE, a simulated-IMU pipeline that estimates knee joint contact forces using motion capture and EMG, validated against in vivo measurements with high accuracy.

This study quantifies the energetic cost of standing balance and gait initiation across natural postures, finding that energy expenditure is asymmetric with respect to lean angle and that postural preferences do not strictly minimize energy cost.

This study improves knee joint contact force estimates by incorporating co-contraction index into musculoskeletal modeling, reducing error by 7% compared to minimum activation methods.

MSK-Morph automates the transformation of template musculoskeletal models into subject-specific bone geometries using medical imaging data.

This paper proposes a bio-inspired gait controller for a torque-driven human model to achieve stable walking with minimal energy expenditure and robustness to disturbances.

This study compares glenohumeral stability formulations in musculoskeletal simulations against in vivo contact forces, finding that penalty-based formulations better predict contact force directions than constraint-based approaches.

This study develops a new muscle redundancy solver to assess the impact of enforcing glenohumeral joint stability on muscle activity estimates during shoulder movements.