Characterizing and minimizing synchronization and calibration errors in inertial body sensor networks
Shanshan Chen, Jeff S. Brantley, Taeyoung Kim, John Lach · 2010
Body sensor network (BSN) applications depend on accurate and precise data from body-worn devices, but issues related to sensor variations, body mounting variations, and node-to-node synchronization can dramatically impact the quality and reliability of collected data and, ultimately, application fidelity. Characterizing and addressing these sources of error -- which are both static and dynamic (e.g. sensors suffer from static manufacturing variability and dynamic environmental impacts) -- within the context of application requirements is therefore necessary for the viability of such applications.