Present-day science makes extensive use of the simulation. Our work focuses on simulating human gait. Simulations of human gait can be used for prosthetics and therapy e.g. rehabilitation, optimizing the movements made by sportsmen, evaluating advances in rehabilitation, etc. Methods of AI can also be used for predicting gait movement and for identifying disorders.Our project is about measuring human gait, simulating the musculo-skeletal system in order to study study walking and predicting and quantifying gait with the use of neural networks. The research is being carried out in the biomechanics laboratory at FBE CTU, and is intended for use in clinical practice at the 2nd Faculty of Medicine, Charles University
Computer simulation of human gait, based on measured motion data, is a well-established technique in...
IntroductionRecent advancements in reinforcement learning algorithms have accelerated the developmen...
Physics-based predictive simulations of human movement have the potential to support personalized me...
Present-day science makes extensive use of the simulation. Our work focuses on simulating human gait...
Human gait is nowadays undergoing extensive analysis. Predictions of leg movements can be used for o...
<div><p>Abstract Introduction Historically, assessing the quality of human gait has been a difficul...
Gait is one of the most influential elements in determining the quality of life of an individual, a...
Over the years, the importance of creating different motion prediction systems for the improvement ...
Our mobility is an important daily requirement so much so that any disruption to it severely degrade...
We present a model-based approach to gait extraction that is capable of reliable operation on real-w...
The development of current prostheses and orthoses typically follows a trial and error approach wher...
We describe a new method for analyzing and extracting human gait motion by combining statistical met...
This dissertation aims to develop a dynamic model of human gait, especially the working principl...
IntroductionRecent advancements in reinforcement learning algorithms have accelerated the developmen...
In contemporary science, the analysis of human walking is extensively used. The prediction of leg mo...
Computer simulation of human gait, based on measured motion data, is a well-established technique in...
IntroductionRecent advancements in reinforcement learning algorithms have accelerated the developmen...
Physics-based predictive simulations of human movement have the potential to support personalized me...
Present-day science makes extensive use of the simulation. Our work focuses on simulating human gait...
Human gait is nowadays undergoing extensive analysis. Predictions of leg movements can be used for o...
<div><p>Abstract Introduction Historically, assessing the quality of human gait has been a difficul...
Gait is one of the most influential elements in determining the quality of life of an individual, a...
Over the years, the importance of creating different motion prediction systems for the improvement ...
Our mobility is an important daily requirement so much so that any disruption to it severely degrade...
We present a model-based approach to gait extraction that is capable of reliable operation on real-w...
The development of current prostheses and orthoses typically follows a trial and error approach wher...
We describe a new method for analyzing and extracting human gait motion by combining statistical met...
This dissertation aims to develop a dynamic model of human gait, especially the working principl...
IntroductionRecent advancements in reinforcement learning algorithms have accelerated the developmen...
In contemporary science, the analysis of human walking is extensively used. The prediction of leg mo...
Computer simulation of human gait, based on measured motion data, is a well-established technique in...
IntroductionRecent advancements in reinforcement learning algorithms have accelerated the developmen...
Physics-based predictive simulations of human movement have the potential to support personalized me...