Identifying people in camera networks using wearable accelerometers

Authors:
Thiago Teixeira;Deokwoo Jung;Gershon Dublon;Andreas Savvides
Affiliations:
Yale University, New Haven, CT;Yale University, New Haven, CT;Yale University, New Haven, CT;Yale University, New Haven, CT
Venue:
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
Year:
2009

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Abstract

We propose a system to identify people in a sensor network. The system fuses motion information measured from wearable accelerometer nodes with motion traces of each person detected by a camera node. This allows people to be uniquely identified with the IDs the accelerometer-node that they wear, while their positions are measured using the cameras. The system can run in real time, with high precision and recall results. A prototype implementation using iMote2s with camera boards and wearable TI EZ430 nodes with accelerometer sensorboards is also described.