This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

Inertial motion analysis is having a growing interest during the last decades due to its
advantages over classical optical systems. The technological solution based on inertial …

Objective: Analyzing human motion is essential for diagnosing movement disorders and
guiding rehabilitation for conditions like osteoarthritis, stroke, and Parkinson's disease …

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 …

E-learning has emerged as an indispensable educational mode in the post-epidemic era.
However, this mode makes it difficult for students to stay engaged in learning without …

The human–machine effectiveness evaluation is crucial in designing and optimizing lower
limb exoskeletons. However, the current single-indicator evaluation method lacks a unified …

Develo** real-time biomechanical feedback systems for in-field applications will transfer
human motor skills' learning/training from subjective (experience-based) to objective …

In pedestrian inertial navigation system, the traditional zero-velocity update (ZUPT) method
establishes a velocity constraint. Based on the Kalman filter algorithm, the velocity error is …

Wearable lower-limb joint angle estimation using a reduced inertial measurement unit (IMU)
sensor set could enable quick, economical sports injury risk assessment and motion …

IMU-based human joint motion acquisition system is attractive for real-time control and
monitoring in the emerging wearable technology due to its portability. However, in practical …