Andreas Fischer

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Human movement is characterized by smoothed trajectories and individual solutions in terms of joint angle configurations. Knowledge about basic strategies and the nature of human motion is essential to transfer human movement characteristics to a humanoid robot. The objective of this study is the inter-individual and intra-individual comparison of movement(More)
In robotics research is an increasing need for knowledge about human motions. However humans tend to perceive motion in terms of discrete motion primitives. Most systems use data-driven motion seg-mentation to retrieve motion primitives. Besides that the actual intention and context of the motion is not taken into account. In our work we propose a procedure(More)
— There are two quite different kinds of approaches to the generation of motions for a humanoid robot. The second one attempts to make the robot perform a given task and is thus focused on the accurate movements of the robot's end effectors [18], [19]. In this work, we present a completely new scheme for the motion generation of a humanoid robot called(More)
An appraisal of human motions and particular motion phases is essential for a good interaction between a human and a humanoid robot. We present a new method for the analysis of human motions and the classification of motion phases. The method allows an automatic composition of a motion model for a complex motion from several elementary models. The(More)
In industrial settings, X-ray computed tomography scans are a common tool for inspection of objects. Often the object can not be imaged using standard circular or helical trajectories because of constraints in space or time. Compared to medical applications the variance in size and materials is much larger. Adapting the acquisition trajectory to the object(More)
Modeling of complex relations concerning the analysis of patterns of human walking and running in the past years was realized using different methods of soft-computing. Looking at the classification of individual movement patterns optimized model approaches seem to lead to an advancement regarding classification rates. In the present analyses kinematic data(More)