Multi-Sensor Data-Driven Synchronization Using Wearable Sensors Conference Paper uri icon

abstract

  • Copyright 2015 ACM. This paper presents a method to synchronize the data streams from multiple sensors, including wearables and sensors in the environment. Our approach exploits common events observed by the sensors as they interact. We detect physical and cyber couplings between the sensor data streams and determine which couplings will minimize the overall clock drift. We present a graph model to represent the event couplings between sensors and the drift in the sensor timing and propose a solution that employs a shortest path algorithm to minimize the overall clock drift in the system based on the graph model. Experimental results over two trials show an improvement of 21.5% and 43.7% for total drift and 59.4% and 60.7% for average drift.

name of conference

  • Proceedings of the 2015 ACM International Symposium on Wearable Computers - ISWC '15

published proceedings

  • ISWC 2015: PROCEEDINGS OF THE 2015 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS

author list (cited authors)

  • Bennett, T. R., Gans, N., & Jafari, R.

citation count

  • 7

complete list of authors

  • Bennett, Terrell R||Gans, Nicholas||Jafari, Roozbeh

publication date

  • January 2015