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Tap2Pair: associating wireless devices with tapping

Published: 09 September 2019 Publication History

Abstract

The IoT era demands ad-hoc wireless devices association for a convenient and spontaneous cross-device interaction experience. Currently, users associate two devices by selecting the advertising device (e.g. a mouse) from a list displayed by the scanning device (e.g. a laptop). However, the association can be misplaced since it is often more convenient to initiate association from the advertising device (e.g. when switching a mouse between two computers). Tap2Pair allows users to simply tap on an advertising device to associate with the target scanning device. It does not require any modification of existing wireless devices and is compatible with most wireless protocols. Hands tap near the advertising device's antenna can change the strength of the signal received by scanning devices. Scanning devices can then calculate signal features and initiate association if certain criteria are met. We demonstrate two association strategies for different scenarios: 1. Hold and tap an advertising device near the target scanning device; 2. Tap at the corresponding frequency of the target scanning device.

References

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Wi-Fi Alliance. 2019. Wi-Fi Alliance. https://www.wi-fi.org/
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Ming Ki Chong and Hans Gellersen. 2011. How Users Associate Wireless Devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11). ACM, New York, NY, USA, 1909--1918.
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Ming Ki Chong, Rene Mayrhofer, and Hans Gellersen. 2014. A Survey of User Interaction for Spontaneous Device Association. ACM Comput. Surv. 47, 1 (May 2014), 8:1--8:40.
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Seongmin Ham, Jihyung Lee, and Kyunghan Lee. 2017. QuickTalk: An Association-Free Communication Method for IoT Devices in Proximity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 3 (Sept. 2017), 56:1--56:18.
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Bluetooth SIG Inc. 2019. Bluetooth Technology Website | The official website of Bluetooth technology. https://www.bluetooth.com/
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Michael O. Jewell, Enrico Costanza, and Jacob Kittley-Davies. 2015. Connecting the Things to the Internet: An Evaluation of Four Configuration Strategies for Wi-fi Devices with Minimal User Interfaces. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15). ACM, New York, NY, USA, 767--778.
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C. Li, E. Ofli, N. Chavannes, and N. Kuster. 2009. Effects of Hand Phantom on Mobile Phone Antenna Performance. IEEE Transactions on Antennas and Propagation 57, 9 (Sept. 2009), 2763--2770.
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Logitech. 2019. Logitech M585 Multi-Device Wireless Mouse with 5 Programmable Buttons. https://www.logitech.com/en-us/product/m585-wireless-mouse
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Tengxiang Zhang, Xin Yi, Ruolin Wang, Yuntao Wang, Chun Yu, Yiqin Lu, and Yuanchun Shi. 2018. Tap-to-Pair: Associating Wireless Devices with Synchronous Tapping. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 4 (Dec. 2018), 201:1--201:21.

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Published In

cover image ACM Conferences
UbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
September 2019
1234 pages
ISBN:9781450368698
DOI:10.1145/3341162
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 September 2019

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Author Tags

  1. RSSI
  2. pairing
  3. tapping
  4. wireless device association

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  • Demonstration

Funding Sources

  • Natural Science Foundation of China under Grant
  • Beijing Municipal Science & Technology Commission
  • National Key Research & Development Program of China

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UbiComp '19

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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