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System and method for distinguishing human swipe input sequence behavior
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-4279-5396
2013 (English)Patent (Other (popular science, discussion, etc.))
Abstract [en]

Recording, analyzing and categorizing of user interface input via touchpad, touch screens or any device that can synthesize gestures from touch and pressure into input events. Such as, but not limited to, smart phones, touch pads and tablets. Humans may generate the input. The analysis of data may include statistical profiling of individual users as well as groups of users, the profiles can be stored in, but not limited to data containers such as files, secure storage, smart cards, databases, off device, in the cloud etc. A profile may be built from user/users behavior categorized into quantified types of behavior and/or gestures. The profile might be stored anonymized. The analysis may take place in real time or as post processing. Profiles can be compared against each other by all the types of quantified behaviors or by a select few.

Place, publisher, year, edition, pages
2013.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ltu:diva-36886Local ID: b091957a-ab13-4a27-aa71-e3fc5db48254OAI: oai:DiVA.org:ltu-36886DiVA, id: diva2:1010333
Patent
US 20130282637 (2013-10-24)
Note

Godkänd; 2013; 20131125 (peppar)

Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2025-02-18Bibliographically approved

Open Access in DiVA

fulltext(137 kB)75 downloads
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63d9bdab08ed2da2225b06dd1c809ed8c454edf428d65dc0944c6ae401a2f161320f429d2d8580da4ea2b0ff1f8517f024d343beb798a86606eaab1248d0c5e2
Type fulltextMimetype application/pdf

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Parnes, Peter

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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