Abstract: In this paper we show that it is possible to reconstruct whole body motions from the data taken by as few as 1, 2, 4 inertial sensors, if a semantic pre-classification of the motion is available, and motion data bases can be used to synthesize missing degrees of freedom. We demonstrate some examples of reconstructed motions and compare them with a video of the take, and we use data of optical motion captures for numerical comparisons. Although our work is mainly inspired by the wish to create easy-to-use and cheap motion capture systems for everyday settings, such a motion capture system is also an easy-to-use tracking system of whole body motions. Moreover, the underlying synthesis of motion out of low-dimensional control signals opens new ways for the control of avatars
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