Fine-grained network time synchronization using reference broadcasts
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
Timing-sync protocol for sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
The flooding time synchronization protocol
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Comparison of Orientation Filter Algorithms for Realtime Wireless Inertial Posture Tracking
BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
TEMPO 3.1: A Body Area Sensor Network Platform for Continuous Movement Assessment
BSN '09 Proceedings of the 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks
Automatic event-based synchronization of multimodal data streams from wearable and ambient sensors
EuroSSC'09 Proceedings of the 4th European conference on Smart sensing and context
Time synchronization in sensor networks: a survey
IEEE Network: The Magazine of Global Internetworking
Longitudinal high-fidelity gait analysis with wireless inertial body sensors
WH '10 Wireless Health 2010
Characterising and minimising sources of error in inertial body sensor networks
International Journal of Autonomous and Adaptive Communications Systems
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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. This work characterizes and addresses errors related to sensor and mounting calibration and node synchronization on a case study application -- knee joint angle as measured during walking by an accelerometer- and gyroscope-based BSN. Using an industrial optical motion capture system to provide ground truth, calibration and synchronization error are quantified and the efficacy of solutions for reducing such errors are evaluated.