Affiliation:
1. Key Laboratory of Pervasive Computing, Ministry of Education, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Global Innovation eXchange Institute, Tsinghua University, Beijing, China
Abstract
Ad-hoc wireless device pairing enables impromptu interactions in smart spaces, such as resource sharing and remote control. The pairing experience is mainly determined by the device association process, during which users express their pairing intentions between the advertising device and the scanning device. Currently, most wireless devices are associated by selecting the advertiser's name from a list displayed on the scanner's screen, which becomes less efficient and often misplaced as the number of wireless devices increases. In this paper, we propose Tap-to-Pair, a spontaneous device association mechanism that initiates pairing from advertising devices without hardware or firmware modifications. Tapping an area near the advertising device's antenna can change its signal strength. Users can then associate two devices by synchronizing taps on the advertising device with the blinking pattern displayed by the scanning device. By leveraging the wireless transceiver for sensing, Tap-to-Pair does not require additional resources from advertising devices and needs only a binary display (e.g. LED) on scanning devices. We conducted a user study to test users' synchronous tapping ability and demonstrated that Tap-to-Pair can reliably detect users' taps. We ran simulations to optimize parameters for the synchronization recognition algorithm and provide pattern design guidelines. We used a second user study to evaluate the on-chip performance of Tap-to-Pair. The results show that Tap-to-Pair can achieve an overall successful pairing rate of 93.7% with three scanning devices at different distances.
Funder
National Key Research and Development Plan
National Natural Science Foundation of China
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction
Cited by
38 articles.
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