Exoskeletons can augment the performance of unimpaired users and restore movement in
individuals with gait impairments. Knowledge of how users interact with wearable devices …

Lower-limb exoskeletons have the potential to transform the way we move,,,,,,,,,,,,–, but
current state-of-the-art controllers cannot accommodate the rich set of possible human …

Robotic lower-limb exoskeletons can augment human mobility, but current systems require
extensive, context-specific considerations, limiting their real-world viability. Here, we present …

The quadriceps are particularly susceptible to fatigue during repetitive lifting, lowering, and
carrying (LLC), affecting worker performance, posture, and ultimately lower-back injury risk …

Locomotion disorder caused by spinal cord injury (SCI) leads to a considerably decreased
quality of people's lives. Although there are no known cure methods for SCI, a lower …

Various backdrivable lower limb exoskeletons have demonstrated the electromechanical
capability to assist volitional motions of able-bodied users and people with mild to moderate …

Machine learning has seen a rapid increase in applications that harness wearable signals to
improve human mobility. Previous work has used machine learning predictors as a means of …

This letter presents a transfer learning method to enhance locomotion intent prediction in
novel transfemoral amputee subjects, particularly in data-sparse scenarios. Transfer …

Exoskeletons and orthoses are wearable mobile systems providing mechanical benefits to
users. Despite significant improvements in the last decades, the technology is not fully …

This research introduces a novel, highly precise, and learning-free approach to locomotion
mode prediction, a technique with potential for broad applications in the field of lower-limb …