Human locomotion involves continuously variable activities including walking, running, and
stair climbing over a range of speeds and inclinations as well as sit-stand, walk-run, and …

Estimation of joint torque during movement provides important information in several
settings, such as effect of athletes' training or of a medical intervention, or analysis of the …

Human motion capture and analysis could be made easier through the use of wearable
devices such as inertial sensors and/or pressure insoles. However, many steps are still …

Although emerging powered prostheses can enable people with lower-limb amputation to
walk and climb stairs over different task conditions (eg, speeds and inclines), the control …

In April 2020, the Japanese government declared a state of emergency due to the novel
coronavirus disease (COVID-19). Schools were closed and a stay-at-home order was issued …

Stroke remains a predominant cause of mortality and disability worldwide. The endeavor to
diagnose stroke through biomechanical time-series data coupled with Artificial Intelligence …

Introduction Gait analysis is increasingly used to support clinical decision-making regarding
diagnosis and treatment planning for movement disorders. As a key part of gait analysis …

Accurately predicting joint torque using wearable sensors is crucial for designing assist-as-
needed exoskeleton controllers to assist muscle-generated torque and ensure successful …

Clinical gait analysis is widely used in clinical routine to assess the function of patients with
motor disorders. The proper assessment of the patient's function relies greatly on the …

There is a lack of knowledge about the accuracy of the Conventional Gait Model (CGM),
compared to the true bone motion. Accuracy is hindered by both marker misplacement and …