tation is usually obtained by either a real teacher (e.g. the physical therapist), or a vir-tual teacher (such as in virtual reality-based rehabilitation), thus triggering an instance of the learning-by- imitation scheme. If the rehabilitation exercises are administered in a game fashion, which means asking the player to choose a solution in terms of movement execution out of a number of discrete possi-ble alternatives, we can hypothesize that this is an example of a reinforcement-learning scheme (Sutton and Barto, 1998). The internal model hypothesis, i.e. the presence of an internal representation of the dynamics and kinematics of movemen
The use of video games in physical rehabilitation is becoming more and more popular. A lot of studie...
During their training, students of Physical Education construct theoretical and practical knowledge ...
In physical education, the Teaching Games for Understanding (TGfU) pedagogical strategy has attracte...
This article proposes a reinforcement learning approach to dynamically model the player skills in ap...
The acquisition and self-improvement of novel motor skills is among the most important problems in r...
Conventional motor rehabilitation therapies followed bystroke survivors during their recovery pr...
The development of more effective rehabilitative interventions requires a better understanding of ho...
Humans are capable of performing awe-inspiring feats of agility by drawing from a vast repertoire of...
Designing suitable robotic controllers for automating movement-based rehabilitation therapy requires...
his chapter describes how serious games can be used to improve the rehabilitation of stroke patients...
The aim of this thesis is to introduce an action systems approach to rehabilitation science. More pr...
Many complex robot motor skills can be repre-sented using elementary movements, and there ex-ist eff...
In this article, we present both novel learning algorithms and experiments using the dynamical syste...
Traditional motor primitive approaches deal largely with open-loop policies which can only deal with...
This paper describes the development of a Virtual Reality (VR) based therapeutic training system aim...
The use of video games in physical rehabilitation is becoming more and more popular. A lot of studie...
During their training, students of Physical Education construct theoretical and practical knowledge ...
In physical education, the Teaching Games for Understanding (TGfU) pedagogical strategy has attracte...
This article proposes a reinforcement learning approach to dynamically model the player skills in ap...
The acquisition and self-improvement of novel motor skills is among the most important problems in r...
Conventional motor rehabilitation therapies followed bystroke survivors during their recovery pr...
The development of more effective rehabilitative interventions requires a better understanding of ho...
Humans are capable of performing awe-inspiring feats of agility by drawing from a vast repertoire of...
Designing suitable robotic controllers for automating movement-based rehabilitation therapy requires...
his chapter describes how serious games can be used to improve the rehabilitation of stroke patients...
The aim of this thesis is to introduce an action systems approach to rehabilitation science. More pr...
Many complex robot motor skills can be repre-sented using elementary movements, and there ex-ist eff...
In this article, we present both novel learning algorithms and experiments using the dynamical syste...
Traditional motor primitive approaches deal largely with open-loop policies which can only deal with...
This paper describes the development of a Virtual Reality (VR) based therapeutic training system aim...
The use of video games in physical rehabilitation is becoming more and more popular. A lot of studie...
During their training, students of Physical Education construct theoretical and practical knowledge ...
In physical education, the Teaching Games for Understanding (TGfU) pedagogical strategy has attracte...