As the proliferation of pervasive and ubiquitous computing devices continues, users will carry more devices. Without the ability for these devices to unobtrusively interact with one another, the user's attention will be spent on coordinating, rather than using, these devices. This paper presents a method based on a coherence function, a measure of linear correlation in the frequency domain, to reliably analyze walking data recorded by low-cost MEMS accelerometers to determine if two devices are carried by the same person. The paper also presents results from a large test group illustrating the algorithm's robustness and its ability to withstand real world time delays, crucial for wireless technologies like Bluetooth and 802.11.
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