A Relationship Model between Optimized Exoskeleton Assistance and Gait Conditions Improves Multi-gait Human-in-the-Loop Optimization Performance.

Exoskeletons have been shown be able to reduce metabolic cost of human walking. Determining the suitable assistance is challenging due to individual variability in response and the need for tailored assistance across different gait conditions. Human-in-the-loop (HIL) optimization has been proposed to address this issue, but current implementations often suffer from prolonged optimization cycles.

Effect of Vest Load Carriage on Cardiometabolic Responses with Load Position, Load Mass, and Walking Conditions for Young Adults.

Carrying external loads, such as vest-borne systems, is common in occupations like firefighting and military service, yet the physiological impacts of load placement, mass, and walking conditions remain not fully understood. This study examined the effects of vest load carriage on metabolic rate and heart rate. Participants underwent three trials with varying load placements, masses (0-30 kg), and walking conditions (different speeds and inclines).

Comparison of biomechanical analysis results using different musculoskeletal models for children with cerebral palsy.

Musculoskeletal model-based simulations have gained popularity as a tool for analyzing human movement biomechanics. However, when examining the same gait, different models with varying anatomical data and assumptions may produce inconsistent biomechanical results. This inconsistency is particularly relevant for children with cerebral palsy, who often exhibit multiple pathological gait patterns that can impact model outputs.