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SideSwipe: detecting in-air gestures around mobile devices using actual GSM signal

Published: 05 October 2014 Publication History

Abstract

Current smartphone inputs are limited to physical buttons, touchscreens, cameras or built-in sensors. These approaches either require a dedicated surface or line-of-sight for interaction. We introduce SideSwipe, a novel system that enables in-air gestures both above and around a mobile device. Our system leverages the actual GSM signal to detect hand gestures around the device. We developed an algorithm to convert the discrete and bursty GSM pulses to a continuous wave that can be used for gesture recognition. Specifically, when a user waves their hand near the phone, the hand movement disturbs the signal propagation between the phone's transmitter and added receiving antennas. Our system captures this variation and uses it for gesture recognition. To evaluate our system, we conduct a study with 10 participants and present robust gesture recognition with an average accuracy of 87.2% across 14 hand gestures.

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      cover image ACM Conferences
      UIST '14: Proceedings of the 27th annual ACM symposium on User interface software and technology
      October 2014
      722 pages
      ISBN:9781450330695
      DOI:10.1145/2642918
      Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 05 October 2014

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      Author Tags

      1. GSM
      2. antenna
      3. in-air hand gesture

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      • (2023)Above-Screen Fingertip Tracking with a Phone in Virtual RealityExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585728(1-7)Online publication date: 19-Apr-2023
      • (2023)Mixed Reality Interaction TechniquesSpringer Handbook of Augmented Reality10.1007/978-3-030-67822-7_5(109-129)Online publication date: 1-Jan-2023
      • (2023)Gesture‐Based ComputingHandbook of Human‐Machine Systems10.1002/9781119863663.ch32(397-408)Online publication date: 7-Jul-2023
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