Optimising the Encoding for Vibrotactile Skin Reading

Granit Luzhnica; Eduardo Veas

doi:10.1145/3290605.3300465

Optimising the Encoding for Vibrotactile Skin Reading

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-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 language	English
Title of host publication	ACM CHI Conference on Human Factors in Computing Systems (CHI'19)
Publisher	Association of Computing Machinery
DOIs	https://doi.org/10.1145/3290605.3300465
Publication status	Published - 9 May 2019
Event	2019 ACM CHI Conference on Human Factors in Computing Systems: CHI 2019 - Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019

Conference

Conference	2019 ACM CHI Conference on Human Factors in Computing Systems
Abbreviated title	CHI 2019
Country/Territory	United Kingdom
City	Glasgow
Period	4/05/19 → 9/05/19

Keywords

haptic feedback
tactile feedback

Access to Document

10.1145/3290605.3300465

6 Conference paper
1 Working paper

Background perception and comprehension of symbols conveyed through vibrotactile wearable displays
Luzhnica, G. & Veas, E., 1 Jan 2019, 24rd International Conference on Intelligent User Interfaces (IUI’19). . Association of Computing Machinery, p. 57-64 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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 paper › peer-review

Open Access
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 paper › peer-review

Cite this

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title = "Optimising the Encoding for Vibrotactile Skin Reading",

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.",

keywords = "haptic feedback, tactile feedback",

author = "Granit Luzhnica and Eduardo Veas",

year = "2019",

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doi = "10.1145/3290605.3300465",

language = "English",

booktitle = "ACM CHI Conference on Human Factors in Computing Systems (CHI'19)",

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T1 - Optimising the Encoding for Vibrotactile Skin Reading

AU - Luzhnica, Granit

AU - Veas, Eduardo

PY - 2019/5/9

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N2 - 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.

AB - 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.

KW - haptic feedback

KW - tactile feedback

U2 - 10.1145/3290605.3300465

DO - 10.1145/3290605.3300465

M3 - Conference paper

BT - ACM CHI Conference on Human Factors in Computing Systems (CHI'19)

PB - Association of Computing Machinery

T2 - 2019 ACM CHI Conference on Human Factors in Computing Systems

Y2 - 4 May 2019 through 9 May 2019

ER -

Optimising the Encoding for Vibrotactile Skin Reading

Abstract

Conference

Keywords

Access to Document

Fingerprint

Research output

Background perception and comprehension of symbols conveyed through vibrotactile wearable displays

Investigating Interactions for Text Recognition using a Vibrotactile Wearable Display

Passive haptic learning for vibrotactile skin reading

Cite this