Key result
A virtual on-body detection sensor using creeping wave propagation identified on-body devices with a 92.3% average true positive rate and a 5% average false positive rate.
Absolute Event Rate: 92.3% vs 5%
A novel virtual sensor using creeping wave propagation can accurately detect whether commercial off-the-shelf wearables and smartphones are on the same body.
The ability to detect which wearables and smartphones are on the same body has the potential to support a wealth of applications, including user authentication, automatic data synchronization, and personalized profile loading. This paper brings this feature to commercial off-the-shelf (COTS) wearables and smartphones, by creating a virtual “on-body detection sensor” based on devices' inherent wireless capabilities. We investigate using the peculiar propagation characteristics of creeping waves to discern on-body wearables. To this end, we decompose signals into multiple independent components to exploit the variation features of creeping waves. We implement our system on COTS wearables and a smartphone. Extensive experiments are conducted in a lab, apartments, malls, and outdoor areas, involving 12 volunteer subjects of different age groups, to demonstrate the robustness of our system. Results show that our system can identify on-body devices at 92.3% average true positive rate and 5% average false positive rate.
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Wang et al. (2017) studied this question. Virtual on-body detection sensor based on creeping wave propagation was evaluated on Identification of on-body devices. A virtual on-body detection sensor using creeping wave propagation identified on-body devices with a 92.3% average true positive rate and a 5% average false positive rate.
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