umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Interactive Feet for Mobile Immersive Interaction
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Immersive Interaction Lab.(i2Lab),)
Umeå University, Faculty of Science and Technology, Department of Computing Science.
School of Computer Science and Communication, Royal Institute of Technology (KTH), Sweden.
2012 (English)In: MobileHCI 2012: Mobile Vision (MobiVis) – Vision-based Applications and HCI, San Fransisco, USA: MOBIVIS , 2012Conference paper, Oral presentation only (Other academic)
Abstract [en]

In this paper we propose a novel algorithm for foot-gesture tracking method in mobile phones. To evaluate our proposed algorithm we develop two application scenarios for mobile immersive interaction experience based on audio, vibrotactile and foot interactions. For current studies we have located and tracked foot-gesture using template matching algorithm. The strength of proposed algorithm is demonstrated based on a successful completion of the given tasks. In the first application scenario the user is presented with an immersive fun dialing, i.e. dialing desired phone numbers using foot-gestures, while in the second application scenario, the user is provided with an immersive music game for unlocking keypad using foot-gesture on a smart phone. Our algorithm not only successfully locates and tracks foot-gesture but also can detect and track shoe of any size. These studies show the effectiveness of foot-gesture on mobile phones in real life situations.

Place, publisher, year, edition, pages
San Fransisco, USA: MOBIVIS , 2012.
Keyword [en]
immersive interaction, vibrotactile rendering, foot-gesture, mobile interface, mobile HCI
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:umu:diva-59688OAI: oai:DiVA.org:umu-59688DiVA: diva2:556258
Conference
MobileHCI 2012
Available from: 2012-09-24 Created: 2012-09-24 Last updated: 2016-02-23Bibliographically approved

Open Access in DiVA

No full text

Other links

MOBIVIS

Search in DiVA

By author/editor
ur Réhman, ShafiqKhan, AbdullahLi, Haibo
By organisation
Department of Applied Physics and ElectronicsDepartment of Computing Science
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 188 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf