Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …

Continuous monitoring of spine movement function could enhance our understanding of low
back pain development. Wearable technologies have gained popularity as promising …

Estimating biological joint moments using wearable sensors could enable out-of-lab
biomechanical analyses and exoskeletons that assist throughout daily life. To realize these …

Despite the exponential growth in using inertial measurement units (IMUs) for
biomechanical studies, future growth in “inertial motion capture” is stymied by a fundamental …

In biomechanics, joint kinetics has an important role in evaluating the mechanical load of the
joint and understanding its motor function. Although an optical motion capture (OMC) system …

Tibial bone stress injury is a common overuse injury experienced by runners, which results
from repetitive tissue forces. Wearable sensor systems (wearables) that monitor tibial forces …

Combining machine learning models with wearable sensing provides a key technique for
understanding the biological effort, creating an alternative to inverse dynamics based on …

Recording human gestures from a wearable sensor produces valuable information to
implement control gestures or in healthcare services. The wearable sensor is required to be …

In recent years, marked progress has been made in wearable technology for human motion
and posture recognition in the areas of assisted training, medical health, VR/AR, etc. This …

Frailty is associated with gait variability in several quantitative parameters, including high
stride time variability. However, the associations between joint kinematics during walking …