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[197] Citation: Abstract
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. We present 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. We use inexpensive
accelerometers and show that these sensors perform similarly to more
expensive accelerometers for the frequency range of human motion, 0 to 10Hz.
We also present 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. We present results that show
that our technique is 100% accurate using a sliding window of 8 seconds of data
and the devices are carried in the same location on the body (we also present
results for when devices are carried on different parts of the body), is tolerant to
inter-device communication latencies, and requires little communication
bandwidth.
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Updated: Tue Jul 15 23:54:51 2008
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