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Granit Luzhnica

20142018
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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 2 Similar Profiles
Skin Engineering & Materials Science
Display devices Engineering & Materials Science
Object recognition Engineering & Materials Science
Conveying Engineering & Materials Science
Speech recognition Engineering & Materials Science
Mobile phones Engineering & Materials Science
Virtual reality Engineering & Materials Science
Teaching Engineering & Materials Science

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Research Output 2014 2018

  • 9 Conference contribution
  • 1 Poster
  • 1 Working paper

Investigating Interactions for Text Recognition using a Vibrotactile Wearable Display

Luzhnica, G. & Veas, E. 2018 23rd International Conference on Intelligent User Interfaces, ACM IUI. p. 453-465 13 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
Skin
Display devices
Communication
Sensors

Passive haptic learning for vibrotactile skin reading

Luzhnica, G., Veas, E. & Seim, C. 2018 Proceedings of the 2018 ACM International Symposium on Wearable Computers, ISWC. p. 40-43 4 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Skin
Conveying

Passive Haptic Learning for Vibrotactile Skin-Reading: Comparison of Teaching Structures

Luzhnica, G., Veas, E. & Seim, C. 2018 Georgia Tech Library

Research output: Working paper

Skin
Teaching
Conveying

Skin Reading Meets Speech Recognition and Object Recognition for Sensory Substitution

Luzhnica, G. & Veas, E. 2018 Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. p. 146-149 4 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
Object recognition
Speech recognition
Skin
Substitution reactions
Audition

Personalising vibrotactile displays through perceptual sensitivity adjustment

Luzhnica, G., Stein, S., Veas, E., Pammer, V., Williamson, J. & Smith, R. M. 2017 Proceedings of the 2017 ACM International Symposium on Wearable Computers. p. 66-73 8 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Prizes

Best Paper Honorable Mention

Granit Luzhnica (Recipient), Eduardo Enrique Veas (Recipient) & Viktoria Pammer-Schindler (Recipient), 2016

Prize: Prizes / Medals / Awards