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 to determine if two devices are carried by the same person, by analyzing walking data recorded by low-cost MEMS accelerometers using the coherence function, a measure of linear correlation in the frequency domain. We also show that these low-cost 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 when the devices are carried in the same location on the body, is tolerant to inter-device communication latencies, and requires little communication bandwidth. In addition we present results for when devices are carried on different parts of the body.
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Lester, J., Hannaford, B., Borriello, G. (2004). “Are You with Me?” – Using Accelerometers to Determine If Two Devices Are Carried by the Same Person. In: Ferscha, A., Mattern, F. (eds) Pervasive Computing. Pervasive 2004. Lecture Notes in Computer Science, vol 3001. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24646-6_3
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DOI: https://doi.org/10.1007/978-3-540-24646-6_3
Publisher Name: Springer, Berlin, Heidelberg
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