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
Building eye contact in e-learning through head-eye coordination
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media)
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media)
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media)
2011 (English)In: International Journal of Social Robotics, ISSN 1875-4791, Vol. 3, no 1, 95-106 p.Article in journal (Refereed) Published
Abstract [en]

Video conferencing is a very effective tool to use for e-learning. Most of the available video conferencing systems suffer a main drawback represented by the lack of eye contact between participants. In this paper we present a new scheme for building eye contact in e-learning sessions. The scheme assumes a video conferencing session with “one teacher many students” arrangement. In our system, eye contact is achieved without the need for any gaze estimation technique. Instead, we “generate the gaze” by allowing the user communicate his visual attention to the system through head-eye coordination. To enable real time and precise headeye coordination, a head motion tracking technique is required. Unlike traditional head tracking systems, our procedure suggests mounting the camera on the user’s head rather than in front of it. This configuration achieves much better resolution and thus leads to better tracking results. Promising results obtained from both demo and real time experiments demonstrate the effectiveness and efficiency of the proposed scheme. Although this paper concentrates on elearning, the proposed concept can be easily extended to the world of interaction with social robotics, in which introducing eye contact between humans and robots would be of great advantage.

Place, publisher, year, edition, pages
Dordrecht: Springer , 2011. Vol. 3, no 1, 95-106 p.
Keyword [en]
e-learning, video conferencing, eye contact without gaze estimation, head-eye coordination, motion tracking, SIFT, human-robot interaction
National Category
Medical Laboratory and Measurements Technologies Other Social Sciences not elsewhere specified Signal Processing
Research subject
Signal Processing
Identifiers
URN: urn:nbn:se:umu:diva-40624DOI: 10.1007/s12369-010-0070-yOAI: oai:DiVA.org:umu-40624DiVA: diva2:401494
Projects
e-health
Available from: 2011-03-03 Created: 2011-03-02 Last updated: 2011-03-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textSpringer

Authority records BETA

Halawani, AlaaLi, HaiboAnani, Adi

Search in DiVA

By author/editor
Halawani, AlaaLi, HaiboAnani, Adi
By organisation
Department of Applied Physics and Electronics
Medical Laboratory and Measurements TechnologiesOther Social Sciences not elsewhere specifiedSignal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 218 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