Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/1099
Title: Identifying people in camera networks using wearable accelerometers
Authors: Teixeira, Thiago
Jung, Deokwoo
Dublon, Gershon
Savvides, Andreas 
Issue Date: 2009
Publisher: ACM
Source: Proceedings of the 2nd International Conference on PErvsive Technologies Related to Assistive Environments, 2009.
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.
URI: http://ktisis.cut.ac.cy/handle/10488/1099
ISBN: 9781605584096
DOI: http://doi.acm.org/10.1145/1579114.1579134
Rights: © 2009 ACM, Inc.
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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