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Towards Mobile Handheld Imaging Devices

Published: 23 February 2016 Publication History

Abstract

A new generation of smartphone accessories are emerging to support 2-d and 3-d printing and model creation. These mobile, handheld devices require continuous self-location with position accuracy approaching 0.001 inch, well beyond the capabilities of commercial, consumer-grade wireless positioning technologies. We consider the problem of accurately tracking the motion of a handheld device that provides free- hand, high-resolution image `drawing' while being swiped across a fixed planar surface. We review the capabilities and limitations of existing short-range localization technologies, including optical navigation sensors, ultrasonic positioning devices, and Inertial Measurement Units (IMU). We describe the testing apparati we constructed to establish the ground truth position of a device. We show how combining the complementary capabilities of these sensors can accurately locate a handheld device, potentially enabling a new class of smartphone imaging peripherals and applications.

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cover image ACM Conferences
HotMobile '16: Proceedings of the 17th International Workshop on Mobile Computing Systems and Applications
February 2016
120 pages
ISBN:9781450341455
DOI:10.1145/2873587
  • General Chair:
  • David Chu,
  • Program Chair:
  • Prabal Dutta
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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Publication History

Published: 23 February 2016

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  1. localization
  2. mobile printing

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HotMobile '16 Paper Acceptance Rate 18 of 55 submissions, 33%;
Overall Acceptance Rate 96 of 345 submissions, 28%

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