Multibody dynamics-based musculoskeletal modeling for gait analysis: a systematic review
Beyond qualitative assessment, gait analysis involves the quantitative evaluation of various
parameters such as joint kinematics, spatiotemporal metrics, external forces, and muscle …
parameters such as joint kinematics, spatiotemporal metrics, external forces, and muscle …
A comparison of three-dimensional kinematics between markerless and marker-based motion capture in overground gait
Vision-based methods using RGB inputs for human pose estimation have grown in recent
years but have undergone limited testing in clinical and biomechanics research areas like …
years but have undergone limited testing in clinical and biomechanics research areas like …
Prediction of gait kinetics using Markerless-driven musculoskeletal modeling
Video-based motion analysis systems are emerging in the biomechanics research
community, yet there is limited exploration of kinetics prediction using RGB-markerless …
community, yet there is limited exploration of kinetics prediction using RGB-markerless …
[HTML][HTML] A Comprehensive Review of Vision-Based Sensor Systems for Human Gait Analysis
Analysis of the human gait represents a fundamental area of investigation within the broader
domains of biomechanics, clinical research, and numerous other interdisciplinary fields. The …
domains of biomechanics, clinical research, and numerous other interdisciplinary fields. The …
Prediction of ground reaction forces and moments during walking in children with cerebral palsy
J Kloeckner, RMS Visscher, WR Taylor… - Frontiers in Human …, 2023 - frontiersin.org
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 …
diagnosis and treatment planning for movement disorders. As a key part of gait analysis …
Concurrent validity of artificial intelligence-based markerless motion capture for over-ground gait analysis: A study of spatiotemporal parameters
Gait analysis is used in research and clinical environments; yet several limitations exist in
current methodologies. Markerless systems, utilizing high-speed video and artificial …
current methodologies. Markerless systems, utilizing high-speed video and artificial …
Machine learning-based prediction of joint moments based on kinematics in patients with cerebral palsy
Joint moments during gait provide valuable information for clinical decision-making in
patients with cerebral palsy (CP). Joint moments are calculated based on ground reaction …
patients with cerebral palsy (CP). Joint moments are calculated based on ground reaction …
Walking representation and simulation based on multi-source image fusion and multi-agent reinforcement learning for gait rehabilitation
In the formulation of strategies for walking rehabilitation, achieving precise identification of
the current state and making rational predictions about the future state are crucial but often …
the current state and making rational predictions about the future state are crucial but often …
Estimation of gait parameters in healthy and hemiplegic individuals using Azure Kinect: a comparative study with the optoelectronic system
S Cerfoglio, C Ferraris, L Vismara… - … in Bioengineering and …, 2024 - frontiersin.org
Introduction Walking ability is essential for maintaining functional independence, but it can
be impaired by conditions like hemiplegia resulting from a stroke event. In post-stroke …
be impaired by conditions like hemiplegia resulting from a stroke event. In post-stroke …
[HTML][HTML] Inclusion of a skeletal model partly improves the reliability of lower limb joint angles derived from a markerless depth camera
A single depth camera provides a fast and easy approach to performing biomechanical
assessments in a clinical setting; however, there are currently no established methods to …
assessments in a clinical setting; however, there are currently no established methods to …