Fiberio: a touchscreen that senses fingerprints

@article{Holz2013FiberioAT,
  title={Fiberio: a touchscreen that senses fingerprints},
  author={Christian Holz and Patrick Baudisch},
  journal={Proceedings of the 26th annual ACM symposium on User interface software and technology},
  year={2013}
}
  • Christian Holz, Patrick Baudisch
  • Published 8 October 2013
  • Computer Science
  • Proceedings of the 26th annual ACM symposium on User interface software and technology
We present Fiberio, a rear-projected multitouch table that identifies users biometrically based on their fingerprints during each touch interaction. Fiberio accomplishes this using a new type of screen material: a large fiber optic plate. The plate diffuses light on transmission, thereby allowing it to act as projection surface. At the same time, the plate reflects light specularly, which produces the contrast required for fingerprint sensing. In addition to offering all the functionality known… 
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88 Citations
Highly Influential Citations
3
Background Citations
37
Methods Citations
11

88 Citations

Citation Type

Citation Type

Demonstration and Applications of Fiberio: A Touchscreen That Senses Fingerprints
TLDR
Fiberio, a rear-projected multitouch table that identifies users biometrically based on their fingerprints during each touch interaction using a new type of screen material: a large fiber optic plate.
CapAuth: Identifying and Differentiating User Handprints on Commodity Capacitive Touchscreens
TLDR
CapAuth is proposed, a technique that uses existing, low-level touchscreen data, combined with machine learning classifiers, to provide real-time authentication and even identification of users.
Expanding the Vocabulary of Multitouch Input using Magnetic Fingerprints
We present magnetic fingerprints; an input technique for mobile touchscreen devices that uses a small magnet attached to a user's fingernail in order to differentiate between a normal touch and a…
Biometric Touch Sensing: Seamlessly Augmenting Each Touch with Continuous Authentication
Current touch devices separate user authentication from regular interaction, for example by displaying modal login screens before device usage or prompting for in-app passwords, which interrupts the…
Bodyprint: Biometric User Identification on Mobile Devices Using the Capacitive Touchscreen to Scan Body Parts
TLDR
Bodyprint is presented, a biometric authentication system that detects users' biometric features using the same type of capacitive sensing, but uses the touchscreen as the image sensor instead and classified body parts with 99.98% accuracy.
Disambiguating touch with a smart-ring
TLDR
This paper proposes to augment human touch using a smart-ring, where a unique ID is transmitted through vibration patterns from the ring to the touched device, and makes it possible to distinguish touch between different users, or to associate different meanings to different touches for the same user.
One-Touch Pose Detection on Touchscreen Smartphones
We present a technique that allows distinguishing between index finger and thumb input on touchscreen phones, achieving an average accuracy of 82.6% in a real-life application with only a single…
SkInteract: An On-body Interaction System Based on Skin-Texture Recognition
TLDR
This paper uses an area fingerprint sensor to capture images and locate the corresponding area within a previously created map of the skin surface, which allows to assign arbitrary semantics to areas of the user’s skin and to use the rotation as an additional input modality.
Glass+Skin: An Empirical Evaluation of the Added Value of Finger Identification to Basic Single-Touch Interaction on Touch Screens
TLDR
It is described how finger identification can increase the size of input vocabularies under the constraint of limited real estate, and some visual cues to communicate this novel modality to novice users are discussed.
FabricID: using smart textiles to access wearable devices
TLDR
The concept of FabricID a system which identifies users' hand-prints with a smart textile integrated into the sleeve of the user is presented, which received an identification rate of 82.5% and on average 93.62% for groups of 4 users.
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References

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TLDR
FiberBoard is an easily constructed compact IR-sensing multi-touch display that combines an array of optical fibers to channeled IR light to a camera, and virtual camera software based on existing multi- touch image processing tools is presented.
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TLDR
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TLDR
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