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EchoLoc: Accurate Device-Free Hand Localization Using COTS Devices

  • Beijing Institute of Technology
  • University of North Carolina at Charlotte

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Hand tracking systems are becoming increasingly popular as a fundamental HCI approach. The trajectory of moving hand can be estimated through smoothing the position coordinates collected from continuous localization. Therefore, hand localization is a key component of any hand tracking systems. This paper presents EchoLoc, which locates the human hand by leveraging the speaker array in Commercial Off-The-Shelf (COTS) devices (i.e., a smart phone plugged with a stereo speaker). EchoLoc measures the distance from the hand to the speaker array via the Time Of Flight (TOF) of the chirp. The speaker array and hand yield a unique triangle, therefore, the hand can be localized with triangular geometry. We prototype EchoLoc on iOS as an application, and find it is capable of localization with the average resolution within five centimeters of 73% and three centimeters of 48%.

Original languageEnglish
Title of host publicationProceedings - 45th International Conference on Parallel Processing, ICPP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages334-339
Number of pages6
ISBN (Electronic)9781509028238
DOIs
Publication statusPublished - 21 Sept 2016
Externally publishedYes
Event45th International Conference on Parallel Processing, ICPP 2016 - Philadelphia, United States
Duration: 16 Aug 201619 Aug 2016

Publication series

NameProceedings of the International Conference on Parallel Processing
Volume2016-September
ISSN (Print)0190-3918

Conference

Conference45th International Conference on Parallel Processing, ICPP 2016
Country/TerritoryUnited States
CityPhiladelphia
Period16/08/1619/08/16

Keywords

  • Acoustic Ranging
  • COTS
  • Device-Free
  • Hand Localization

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