Poster: Sensing on ubiquitous surfaces via vibration signals

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work explores vibration-based sensing to determine the location of a touch on extended surface areas as well as identify the object touching the surface leveraging a single sensor. It supports a broad array of applications through either passive or active sensing using only a single sensor. In the passive sensing, the received vibration signals are determined by the location of the touch impact. This allows location discrimination of touches precise enough to enable emerging applications such as virtual keyboards on ubiquitous surfaces for mobile devices. Moreover, in the active mode, the received vibration signals carry richer information of the touching object's characteristics (e.g., weight, size, location and material). This further enables our work to match the signals to the trained profiles and allows it to differentiate personal objects in contact with any surface. We evaluated extensively in the use cases of localizing touches (i.e., virtual keyboards), object localization and identification. Our experimental results demonstrate that the proposed vibration-based solution can achieve high accuracy, over 95%, in all these use cases.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
PublisherAssociation for Computing Machinery
Pages424-425
Number of pages2
Edition1
ISBN (Print)9781450342261
DOIs
StatePublished - Oct 3 2016
Event22nd Annual International Conference on Mobile Computing and Networking, MobiCom 2016 - New York, United States
Duration: Oct 3 2016Oct 7 2016

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
Number1
Volume0

Other

Other22nd Annual International Conference on Mobile Computing and Networking, MobiCom 2016
CountryUnited States
CityNew York
Period10/3/1610/7/16

Fingerprint

Sensors
Mobile devices

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Liu, J., Chen, Y., & Gruteser, M. (2016). Poster: Sensing on ubiquitous surfaces via vibration signals. In Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM (1 ed., pp. 424-425). (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM; Vol. 0, No. 1). Association for Computing Machinery. https://doi.org/10.1145/2973750.2985260
Liu, Jian ; Chen, Yingying ; Gruteser, Marco. / Poster : Sensing on ubiquitous surfaces via vibration signals. Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM. 1. ed. Association for Computing Machinery, 2016. pp. 424-425 (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM; 1).
@inproceedings{d0fcfa031d2c47579101ca86b7d878fc,
title = "Poster: Sensing on ubiquitous surfaces via vibration signals",
abstract = "This work explores vibration-based sensing to determine the location of a touch on extended surface areas as well as identify the object touching the surface leveraging a single sensor. It supports a broad array of applications through either passive or active sensing using only a single sensor. In the passive sensing, the received vibration signals are determined by the location of the touch impact. This allows location discrimination of touches precise enough to enable emerging applications such as virtual keyboards on ubiquitous surfaces for mobile devices. Moreover, in the active mode, the received vibration signals carry richer information of the touching object's characteristics (e.g., weight, size, location and material). This further enables our work to match the signals to the trained profiles and allows it to differentiate personal objects in contact with any surface. We evaluated extensively in the use cases of localizing touches (i.e., virtual keyboards), object localization and identification. Our experimental results demonstrate that the proposed vibration-based solution can achieve high accuracy, over 95{\%}, in all these use cases.",
author = "Jian Liu and Yingying Chen and Marco Gruteser",
year = "2016",
month = "10",
day = "3",
doi = "10.1145/2973750.2985260",
language = "English (US)",
isbn = "9781450342261",
series = "Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM",
publisher = "Association for Computing Machinery",
number = "1",
pages = "424--425",
booktitle = "Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM",
edition = "1",

}

Liu, J, Chen, Y & Gruteser, M 2016, Poster: Sensing on ubiquitous surfaces via vibration signals. in Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM. 1 edn, Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM, no. 1, vol. 0, Association for Computing Machinery, pp. 424-425, 22nd Annual International Conference on Mobile Computing and Networking, MobiCom 2016, New York, United States, 10/3/16. https://doi.org/10.1145/2973750.2985260

Poster : Sensing on ubiquitous surfaces via vibration signals. / Liu, Jian; Chen, Yingying; Gruteser, Marco.

Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM. 1. ed. Association for Computing Machinery, 2016. p. 424-425 (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM; Vol. 0, No. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Poster

T2 - Sensing on ubiquitous surfaces via vibration signals

AU - Liu, Jian

AU - Chen, Yingying

AU - Gruteser, Marco

PY - 2016/10/3

Y1 - 2016/10/3

N2 - This work explores vibration-based sensing to determine the location of a touch on extended surface areas as well as identify the object touching the surface leveraging a single sensor. It supports a broad array of applications through either passive or active sensing using only a single sensor. In the passive sensing, the received vibration signals are determined by the location of the touch impact. This allows location discrimination of touches precise enough to enable emerging applications such as virtual keyboards on ubiquitous surfaces for mobile devices. Moreover, in the active mode, the received vibration signals carry richer information of the touching object's characteristics (e.g., weight, size, location and material). This further enables our work to match the signals to the trained profiles and allows it to differentiate personal objects in contact with any surface. We evaluated extensively in the use cases of localizing touches (i.e., virtual keyboards), object localization and identification. Our experimental results demonstrate that the proposed vibration-based solution can achieve high accuracy, over 95%, in all these use cases.

AB - This work explores vibration-based sensing to determine the location of a touch on extended surface areas as well as identify the object touching the surface leveraging a single sensor. It supports a broad array of applications through either passive or active sensing using only a single sensor. In the passive sensing, the received vibration signals are determined by the location of the touch impact. This allows location discrimination of touches precise enough to enable emerging applications such as virtual keyboards on ubiquitous surfaces for mobile devices. Moreover, in the active mode, the received vibration signals carry richer information of the touching object's characteristics (e.g., weight, size, location and material). This further enables our work to match the signals to the trained profiles and allows it to differentiate personal objects in contact with any surface. We evaluated extensively in the use cases of localizing touches (i.e., virtual keyboards), object localization and identification. Our experimental results demonstrate that the proposed vibration-based solution can achieve high accuracy, over 95%, in all these use cases.

UR - http://www.scopus.com/inward/record.url?scp=84994160303&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84994160303&partnerID=8YFLogxK

U2 - 10.1145/2973750.2985260

DO - 10.1145/2973750.2985260

M3 - Conference contribution

AN - SCOPUS:84994160303

SN - 9781450342261

T3 - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

SP - 424

EP - 425

BT - Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

PB - Association for Computing Machinery

ER -

Liu J, Chen Y, Gruteser M. Poster: Sensing on ubiquitous surfaces via vibration signals. In Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM. 1 ed. Association for Computing Machinery. 2016. p. 424-425. (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM; 1). https://doi.org/10.1145/2973750.2985260