Optimising the Encoding for Vibrotactile Skin Reading

Granit Luzhnica, Eduardo Veas

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

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.
Originalspracheenglisch
TitelACM CHI Conference on Human Factors in Computing Systems (CHI'19)
Herausgeber (Verlag)Association of Computing Machinery
DOIs
PublikationsstatusVeröffentlicht - 9 Mai 2019
Veranstaltung2019 ACM CHI Conference on Human Factors in Computing Systems - Glasgow, Großbritannien / Vereinigtes Königreich
Dauer: 4 Mai 20199 Mai 2019

Konferenz

Konferenz2019 ACM CHI Conference on Human Factors in Computing Systems
KurztitelCHI 2019
LandGroßbritannien / Vereinigtes Königreich
OrtGlasgow
Zeitraum4/05/199/05/19

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    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.

    Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

    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, Glasgow, Großbritannien / Vereinigtes Königreich, 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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    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.",
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