Multi-sensor data-driven
Terrell R. Bennett, Nicholas Gans, Roozbeh Jafari · 2015
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.