research-article

FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

Authors:

Rajalakshmi Nandakumar,

Shyamnath GollakotaAuthors Info & Claims

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Pages 1515 - 1525

https://doi.org/10.1145/2858036.2858580

Published: 07 May 2016 Publication History

Abstract

We present fingerIO, a novel fine-grained finger tracking solution for around-device interaction. FingerIO does not require instrumenting the finger with sensors and works even in the presence of occlusions between the finger and the device. We achieve this by transforming the device into an active sonar system that transmits inaudible sound signals and tracks the echoes of the finger at its microphones. To achieve sub-centimeter level tracking accuracies, we present an innovative approach that use a modulation technique commonly used in wireless communication called Orthogonal Frequency Division Multiplexing (OFDM). Our evaluation shows that fingerIO can achieve 2-D finger tracking with an average accuracy of 8 mm using the in-built microphones and speaker of a Samsung Galaxy S4. It also tracks subtle finger motion around the device, even when the phone is in the pocket. Finally, we prototype a smart watch form-factor fingerIO device and show that it can extend the interaction space to a 0.5×0.25 m2 region on either side of the device and work even when it is fully occluded from the finger.

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Index Terms

FingerIO: Using Active Sonar for Fine-Grained Finger Tracking
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

May 2016

6108 pages

ISBN:9781450333627

DOI:10.1145/2858036

General Chairs:
Jofish Kaye
Yahoo
,
Allison Druin
University of Maryland / National Park Service
,
Program Chairs:
Cliff Lampe
University of Michigan
,
Dan Morris
Microsoft
,
Juan Pablo Hourcade
University of Iowa

Copyright © 2016 ACM.

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Published: 07 May 2016

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CHI'16: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2016

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CHI '16 Paper Acceptance Rate 565 of 2,435 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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https://doi.org/10.3390/s24134360
Wang SWang XJiang WMiao CCao QWang HSun KXue HSu L(2024)Towards Smartphone-based 3D Hand Pose Reconstruction Using Acoustic SignalsACM Transactions on Sensor Networks10.1145/3677122Online publication date: 16-Jul-2024
https://dl.acm.org/doi/10.1145/3677122
Liao ZJin MAn SNiu CWu FDeng TChen G(2024)Waving Hand as Infrared Source for Ubiquitous Gas SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596058:2(1-26)Online publication date: 15-May-2024
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Fu YZhang YPan HLu YLi XChen LRen JLi XZhang XZhang Y(2024)Pushing the Limits of Acoustic Spatial Perception via Incident Angle EncodingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36595838:2(1-28)Online publication date: 15-May-2024
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