In this work, a concept for the execution and kinematic analysis of motion studies is introduced and realized, adding innovative computer-aided methods to the so far existing procedures. Firstly, a classification assistant for grouping kinematic motion data is developed and evaluated, which is alternatively based on Adaptive Resonance Theory or Self-Organizing Feature Maps. It can be demonstrat...

The aim of this study was to investigate muscle activity, kinematic, and handgrip-force pattern generation during handcycling. One able-bodied participant performed a 1-min exercise test on a handcycle at 70 revolutions per minute. This article proposes an original data collection and analysis methodology that gathers synchronized kinematics, kinetics, and electromyography. Such data, which mos...

We studied the stability of changes in motor performance associated with adaptation to a novel dynamic environment during goal-directed movements of the dominant arm. Eleven normal, human subjects made targeted reaching movements in the horizontal plane while holding the handle of a two-joint robotic manipulator. This robot was programmed to generate a novel viscous force field that perturbed t...

Setting standards for medically based running analyses is necessary to ensure that runners receive a high-quality service from practitioners. Medical and training history, physical and functional tests, and motion analysis of running at self-selected and faster speeds are key features of a comprehensive analysis. Self-reported history and movement symmetry are critical factors that require foll...

Levels of stress are not only distinguished by varying fundamental frequency contours but also by changes of supralaryngeal parameters, e.g. unstressed syllables exhibit reduced movement amplitudes and durations compared to stressed syllables. To investigate the effect of deaccentuation on apical gestures in /tVt/ sequences with all vowels of German we recorded lingual movements of five speaker...

A broad range of motor skills, such as speech and writing, evolves with the ability to articulate elementary motor movements into novel sequences that come to be performed smoothly through practice. Neuroimaging studies in humans have demonstrated the involvement of the cerebello-cortical and striato-cortical motor loops in the course of motor sequence learning. Nonetheless, the nature of the i...

BACKGROUND Variability in joint kinematics is necessary for adaptability and response to everyday perturbations; however, intrinsic neuromotor changes secondary to stroke often cause abnormal movement patterns. How these abnormal movement patterns relate to joint kinematic variability and its influence on post-stroke walking impairments is not well understood. OBJECTIVE The purpose of this st...

Computer animation of articulated gures can be tedious largely due to the amount of data which must be speci ed at each frame Animation techniques range from simple interpolation between keyframed gure poses to higher level algorithmic models of speci c movement patterns The former provides the animator with complete control over the movement whereas the latter may provide only limited control ...

Despite the fact that nonverbal dyadic social interactions are abundant in the environment, the neural mechanisms underlying their processing are not yet fully understood. Research in the field of social neuroscience has suggested that two neural networks appear to be involved in social understanding: (1) the action observation network (AON) and (2) the social neural network (SNN). The aim of t...

The role of limbic system structures in spatial orientation continues to be debated. The hippocampus (HPC) has been implicated in encoding symbolic representations of environments (i.e., cognitive map), whereas entorhinal cortex (EC) function has been implicated in self-movement cue processing (i.e., dead reckoning). These distinctions largely depend on the electrophysiological characteristics ...