Towards Motion Characterization and Assessment Within a Wireless Body Area Network

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9258)


The combination of small wireless sensor nodes and inertial sensors such as accelerometers and gyroscopes provides a cheap to produce ubiquitous technology module for human motion analysis. We introduce a system architecture for in-network motion characterization and assessment with a wireless body area network based on motion fragments. We present a segmentation algorithm based on biomechanics to identify motion fragments with a strong relation to an intuitive description of a motion. The system architecture comprises a training phase to provide reference data for segmentation, characterization and assessment of a specific motion and a feedback phase wherein the system provides the assessment related to the conduction of the motion. For fine-grained applicability, the proposed system offers the possibility of providing a motion assessment on three different evaluation layers during the motion assessment process. We evaluate the system in a first practical approach based on a dumbbell exercise.


Motion assessment Motion fragment Wireless body area network Biomechanical segmentation In-network processing 



This work was funded in part by the German Federal Ministry of Education and Research (BMBF, VIP-Project VIVE, Project-ID: 03V0139).


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Mathematics and Computer ScienceFreie Universität BerlinBerlinGermany

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