Abstract
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.
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Acknowledgments
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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Seiffert, M., Dziengel, N., Ziegert, M., Kerz, R., Schiller, J. (2015). Towards Motion Characterization and Assessment Within a Wireless Body Area Network. In: Di Fatta, G., Fortino, G., Li, W., Pathan, M., Stahl, F., Guerrieri, A. (eds) Internet and Distributed Computing Systems. IDCS 2015. Lecture Notes in Computer Science(), vol 9258. Springer, Cham. https://doi.org/10.1007/978-3-319-23237-9_7
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DOI: https://doi.org/10.1007/978-3-319-23237-9_7
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