Optimising the Encoding for Vibrotactile Skin Reading

Granit Luzhnica, Eduardo Veas

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

This paper proposes methods of optimising alphabet encoding for skin reading in order to avoid perception errors. First, a user study with 16 participants using two body locations serves to identify issues in recognition of both individual letters and words. To avoid such issues, a two-step optimisation method of the symbol encoding is proposed and validated in a second user study with eight participants using the opti-mised encoding with a seven vibromotor wearable layout on the back of the hand. The results show signiicant improvements in the recognition accuracy of letters (97%) and words (97%) when compared to the non-optimised encoding.
Original languageEnglish
Title of host publicationACM CHI Conference on Human Factors in Computing Systems (CHI'19)
PublisherAssociation of Computing Machinery
DOIs
Publication statusPublished - 9 May 2019
Event2019 ACM CHI Conference on Human Factors in Computing Systems - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019

Conference

Conference2019 ACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2019
CountryUnited Kingdom
CityGlasgow
Period4/05/199/05/19

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Skin

Keywords

  • haptic feedback
  • tactile feedback

Cite this

Luzhnica, G., & Veas, E. (2019). Optimising the Encoding for Vibrotactile Skin Reading. In ACM CHI Conference on Human Factors in Computing Systems (CHI'19) Association of Computing Machinery. https://doi.org/10.1145/3290605.3300465

Optimising the Encoding for Vibrotactile Skin Reading. / Luzhnica, Granit; Veas, Eduardo.

ACM CHI Conference on Human Factors in Computing Systems (CHI'19). Association of Computing Machinery, 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Luzhnica, G & Veas, E 2019, Optimising the Encoding for Vibrotactile Skin Reading. in ACM CHI Conference on Human Factors in Computing Systems (CHI'19). Association of Computing Machinery, 2019 ACM CHI Conference on Human Factors in Computing Systems, Glasgow, United Kingdom, 4/05/19. https://doi.org/10.1145/3290605.3300465
Luzhnica G, Veas E. Optimising the Encoding for Vibrotactile Skin Reading. In ACM CHI Conference on Human Factors in Computing Systems (CHI'19). Association of Computing Machinery. 2019 https://doi.org/10.1145/3290605.3300465
Luzhnica, Granit ; Veas, Eduardo. / Optimising the Encoding for Vibrotactile Skin Reading. ACM CHI Conference on Human Factors in Computing Systems (CHI'19). Association of Computing Machinery, 2019.
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