Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
110 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
44 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Expanding the Vocabulary of Multitouch Input using Magnetic Fingerprints (1501.03218v1)

Published 14 Jan 2015 in cs.HC

Abstract: 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 magnetic touch. The polarity of the magnet can be used to create different magnetic fingerprints where this technique takes advantage of the rich vocabulary offered by the use of multitouch input. User studies investigate the accuracy of magnetic fingerprint recognition in relation to magnet size, number of magnetic fingerprints used; and size of the touchscreen. Studies found our technique to be limited to using up to two fingerprints non-simultaneously, while achieving a high classification accuracy (95%) but it nearly triples the number of distinguishable multi touch events. Potential useful applications of this technique are presented.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (3)
  1. Halim Cagri Ates (3 papers)
  2. Ilias Apostolopoulos (1 paper)
  3. Eelke Folmer (1 paper)
Citations (2)

Summary

We haven't generated a summary for this paper yet.