A novel input modality for smartphone using tapping sound recognition

Seok Jeong Song; Dowon Kim; Hyoungsik Nam

A novel input modality for smartphone using tapping sound recognition

Seok Jeong Song
, Dowon Kim
, Hyoungsik Nam

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

Abstract

This paper proposes a new tapping sound recognition technology that is a novel input modality utilizing only microphones in most mobile devices. Our technology extracts the positions of tapping sounds generated at the outside of a smartphone by means of frequency domain features and support vector machine (SVM). The error ratio of our algorithm implemented in a smartphone is measured as 8.6% for 7 tapping positions. In addition, we demonstrate a smartphone application to scroll web pages only by our technology.

Original language	English
Title of host publication	23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016
Publisher	Society for Information Display
Pages	565-566
Number of pages	2
ISBN (Electronic)	9781510845510
Publication status	Published - 2016
Event	23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016 - Fukuoka, Japan Duration: 7 Dec 2016 → 9 Dec 2016

Publication series

Name	23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016
Volume	1

Conference

Conference	23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016
Country/Territory	Japan
City	Fukuoka
Period	7/12/16 → 9/12/16

Bibliographical note

Publisher Copyright:
© 2016 Society for Information Display. All rights reserved.

Keywords

Input modality
Sound classification
Sound position recognition
Support vector machine

Cite this

@inproceedings{ff88077098594a5d892d4580d062cf84,

title = "A novel input modality for smartphone using tapping sound recognition",

abstract = "This paper proposes a new tapping sound recognition technology that is a novel input modality utilizing only microphones in most mobile devices. Our technology extracts the positions of tapping sounds generated at the outside of a smartphone by means of frequency domain features and support vector machine (SVM). The error ratio of our algorithm implemented in a smartphone is measured as 8.6\% for 7 tapping positions. In addition, we demonstrate a smartphone application to scroll web pages only by our technology.",

keywords = "Input modality, Sound classification, Sound position recognition, Support vector machine",

author = "Song, \{Seok Jeong\} and Dowon Kim and Hyoungsik Nam",

note = "Publisher Copyright: {\textcopyright} 2016 Society for Information Display. All rights reserved.; 23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016 ; Conference date: 07-12-2016 Through 09-12-2016",

year = "2016",

language = "English",

series = "23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016",

publisher = "Society for Information Display",

pages = "565--566",

booktitle = "23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016",

}

Song, SJ, Kim, D & Nam, H 2016, A novel input modality for smartphone using tapping sound recognition. in 23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016. 23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016, vol. 1, Society for Information Display, pp. 565-566, 23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016, Fukuoka, Japan, 7/12/16.

A novel input modality for smartphone using tapping sound recognition. / Song, Seok Jeong; Kim, Dowon; Nam, Hyoungsik.
23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016. Society for Information Display, 2016. p. 565-566 (23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016; Vol. 1).

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

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N2 - This paper proposes a new tapping sound recognition technology that is a novel input modality utilizing only microphones in most mobile devices. Our technology extracts the positions of tapping sounds generated at the outside of a smartphone by means of frequency domain features and support vector machine (SVM). The error ratio of our algorithm implemented in a smartphone is measured as 8.6% for 7 tapping positions. In addition, we demonstrate a smartphone application to scroll web pages only by our technology.

AB - This paper proposes a new tapping sound recognition technology that is a novel input modality utilizing only microphones in most mobile devices. Our technology extracts the positions of tapping sounds generated at the outside of a smartphone by means of frequency domain features and support vector machine (SVM). The error ratio of our algorithm implemented in a smartphone is measured as 8.6% for 7 tapping positions. In addition, we demonstrate a smartphone application to scroll web pages only by our technology.

KW - Input modality

KW - Sound classification

KW - Sound position recognition

KW - Support vector machine

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M3 - Conference contribution

AN - SCOPUS:85050621387

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BT - 23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016

PB - Society for Information Display

T2 - 23rd International Display Workshops in conjunction with Asia Display, IDW/AD 2016

Y2 - 7 December 2016 through 9 December 2016

ER -

A novel input modality for smartphone using tapping sound recognition

Abstract

Publication series

Conference

Bibliographical note

Keywords

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Cite this