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.
Originalsprache | englisch |
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Titel | ACM CHI Conference on Human Factors in Computing Systems (CHI'19) |
Herausgeber (Verlag) | Association of Computing Machinery |
DOIs | |
Publikationsstatus | Veröffentlicht - 9 Mai 2019 |
Veranstaltung | 2019 ACM CHI Conference on Human Factors in Computing Systems: CHI 2019 - Glasgow, Großbritannien / Vereinigtes Königreich Dauer: 4 Mai 2019 → 9 Mai 2019 |
Konferenz
Konferenz | 2019 ACM CHI Conference on Human Factors in Computing Systems |
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Kurztitel | CHI 2019 |
Land/Gebiet | Großbritannien / Vereinigtes Königreich |
Ort | Glasgow |
Zeitraum | 4/05/19 → 9/05/19 |