Learn More
Sphinx-4 is a flexible, modular and pluggable framework to help foster new innovations in the core research of hidden Markov model (HMM) recognition systems. The design of Sphinx-4 is based on patterns that have emerged from the design of past systems as well as new requirements based on areas that researchers currently want to explore. To exercise this(More)
It is generally accepted that augmented feedback, provided by a human expert or a technical display, effectively enhances motor learning. However, discussion of the way to most effectively provide augmented feedback has been controversial. Related studies have focused primarily on simple or artificial tasks enhanced by visual feedback. Recently, technical(More)
PURPOSE Perioral reflex myoclonias (PORM) are obvious, frequent, but often unobserved focal seizures in different epileptic syndromes and the leading seizure type in reading epilepsy. PORMs remain often undiagnosed because the patients are not aware that these are epileptic seizures and fail to report them. Their semiology is not fundamentally different in(More)
PURPOSE There is increasing awareness that reflex epileptic mechanisms provide unique insight into ictogenesis in human epilepsies. Several of the described triggers have in common that they imply complex visuomotor coordination and decision-making; they are today regarded as variations of one principle, i.e. praxis induction (PI). This focused review(More)
Sphinx-4 is an open source HMM-based speech recognition system written in the Java™ programming language. The design of the Sphinx-4 decoder incorporates several new features in response to current demands on HMM-based large vocabulary systems. Some new design aspects include graph construction for multilevel parallel decoding with multiple feature streams(More)
Little is known about the impact of supraspinal centers on the control of human locomotion. Analyzing brain activity can help to clarify their impact and to improve the effects of locomotor training. A fMRI-compatible pneumatic robotic device is presented that can generate freely programmable, highly repetitive periodic active and passive leg movements(More)
The Harmony browser for the Hyper-G Web server utilises Hyper-G's rich data model to provide a number of tightly-coupled, two-and three-dimensional visualisation and nav-igational facilities. In particulal; the Harmony Information Landscape visualises the hierarchical structure of Hyper-G spaces upon a plane in three-dimensional space. The Harmony(More)
Augmented feedback, provided by coaches or displays, is a well-established strategy to accelerate motor learning. Frequent terminal feedback and concurrent feedback have been shown to be detrimental for simple motor task learning but supportive for complex motor task learning. However, conclusions on optimal feedback strategies have been mainly drawn from(More)