Emotion recognition is key to interpersonal communication and to human–machine
interaction. Body expression may contribute to emotion recognition, but most past studies …

Background Gait analysis is burdened by time and equipment costs, interpretation, and
accessibility of three-dimensional motion analysis systems. Evidence suggests growing …

Abstract Background Foot orthoses (FOs) are used to manage foot pathologies such as
plantar fasciopathy. 3D printed custom-made FOs are increasingly being manufactured …

Markerless motion capture methods are continuously in development to target limitations
encountered in marker-, sensor-, or depth-based systems. Previous evaluation of the …

Gait analysis is used in research and clinical environments; yet several limitations exist in
current methodologies. Markerless systems, utilizing high-speed video and artificial …

Real-time gait event detection (GED) using inertial sensors is important for applications such
as remote gait assessments, intelligent assistive devices including microprocessor-based …

In clinic settings, factors such as time, cost, expertise, and technology feasibility limit the use
of instrumented biomechanical analysis. Recent advances in commercial markerless motion …

Gait phase recognition is of great importance in the development of rehabilitation devices.
The advantages of Long Short-Term Memory (LSTM) and Convolutional Neural Network …

Accurate calculation of temporal stride parameters is essential in horse gait analysis. A
prerequisite for calculating these parameters is identifying the exact timings of gait events …

Quantification of key gait parameters plays an important role in assessing gait deficits in
clinical research. Gait parameter estimation using lower-limb kinematics (mainly leg velocity …