Touching the Void - Introducing CoST: Corpus of Social Touch

Merel Madeleine Jung; Ronald Walter Poppe; Mannes Poel; Dirk K.J. Heylen

doi:10.1145/2663204.2663242

Touching the Void - Introducing CoST: Corpus of Social Touch

Merel Madeleine Jung, Ronald Walter Poppe, Mannes Poel, Dirk K.J. Heylen

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

53 Citations (Scopus)

390 Downloads (Pure)

Abstract

Touch behavior is of great importance during social interaction. To transfer the tactile modality from interpersonal interaction to other areas such as Human-Robot Interaction (HRI) and remote communication automatic recognition of social touch is necessary. This paper introduces CoST: Corpus of Social Touch, a collection containing 7805 instances of 14 different social touch gestures. The gestures were performed in three variations: gentle, normal and rough, on a sensor grid wrapped around a mannequin arm. Recognition of the rough variations of these 14 gesture classes using Bayesian classifiers and Support Vector Machines (SVMs) resulted in an overall accuracy of 54% and 53%, respectively. Furthermore, this paper provides more insight into the challenges of automatic recognition of social touch gestures, including which gestures can be recognized more easily and which are more difficult to recognize.

Original language	Undefined
Title of host publication	Proceedings of the 16th International Conference on Multimodal Interaction, ICMI 2014
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	120-127
Number of pages	8
ISBN (Print)	978-1-4503-2885-2
DOIs	https://doi.org/10.1145/2663204.2663242
Publication status	Published - Nov 2014
Event	16th International Conference on Multimodal Interaction, ICMI 2014 - Istanbul, Turkey, Istanbul, Turkey Duration: 12 Nov 2014 → 16 Nov 2014 Conference number: 16

Publication series

Name
Publisher	ACM

Conference

Conference	16th International Conference on Multimodal Interaction, ICMI 2014
Abbreviated title	ICMI
Country/Territory	Turkey
City	Istanbul
Period	12/11/14 → 16/11/14
Other	12-16 November 2014

Keywords

EWI-25280
Touch gesture recognition
METIS-309648
Touch corpus
IR-93288
Social Touch

Access to Document

10.1145/2663204.2663242

p120-jung

Corpus of Social Touch (CoST)
Jung, M. M. (Creator), University of Twente, 1 Jun 2016
DOI: 10.4121/uuid:5ef62345-3b3e-479c-8e1d-c922748c9b29
Dataset

Cite this

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title = "Touching the Void - Introducing CoST: Corpus of Social Touch",

abstract = "Touch behavior is of great importance during social interaction. To transfer the tactile modality from interpersonal interaction to other areas such as Human-Robot Interaction (HRI) and remote communication automatic recognition of social touch is necessary. This paper introduces CoST: Corpus of Social Touch, a collection containing 7805 instances of 14 different social touch gestures. The gestures were performed in three variations: gentle, normal and rough, on a sensor grid wrapped around a mannequin arm. Recognition of the rough variations of these 14 gesture classes using Bayesian classifiers and Support Vector Machines (SVMs) resulted in an overall accuracy of 54\% and 53\%, respectively. Furthermore, this paper provides more insight into the challenges of automatic recognition of social touch gestures, including which gestures can be recognized more easily and which are more difficult to recognize.",

keywords = "EWI-25280, Touch gesture recognition, METIS-309648, Touch corpus, IR-93288, Social Touch",

author = "Jung, \{Merel Madeleine\} and Poppe, \{Ronald Walter\} and Mannes Poel and Heylen, \{Dirk K.J.\}",

note = "10.1145/2663204.2663242 ; 16th International Conference on Multimodal Interaction, ICMI 2014 ; Conference date: 12-11-2014 Through 16-11-2014",

year = "2014",

month = nov,

doi = "10.1145/2663204.2663242",

language = "Undefined",

isbn = "978-1-4503-2885-2",

publisher = "Association for Computing Machinery",

pages = "120--127",

booktitle = "Proceedings of the 16th International Conference on Multimodal Interaction, ICMI 2014",

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}

Jung, MM, Poppe, RW, Poel, M & Heylen, DKJ 2014, Touching the Void - Introducing CoST: Corpus of Social Touch. in Proceedings of the 16th International Conference on Multimodal Interaction, ICMI 2014. Association for Computing Machinery, New York, pp. 120-127, 16th International Conference on Multimodal Interaction, ICMI 2014, Istanbul, Turkey, 12/11/14. https://doi.org/10.1145/2663204.2663242

Touching the Void - Introducing CoST: Corpus of Social Touch. / Jung, Merel Madeleine; Poppe, Ronald Walter; Poel, Mannes et al.
Proceedings of the 16th International Conference on Multimodal Interaction, ICMI 2014. New York: Association for Computing Machinery, 2014. p. 120-127.

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

TY - GEN

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AU - Poppe, Ronald Walter

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AU - Heylen, Dirk K.J.

N1 - Conference code: 16

PY - 2014/11

Y1 - 2014/11

N2 - Touch behavior is of great importance during social interaction. To transfer the tactile modality from interpersonal interaction to other areas such as Human-Robot Interaction (HRI) and remote communication automatic recognition of social touch is necessary. This paper introduces CoST: Corpus of Social Touch, a collection containing 7805 instances of 14 different social touch gestures. The gestures were performed in three variations: gentle, normal and rough, on a sensor grid wrapped around a mannequin arm. Recognition of the rough variations of these 14 gesture classes using Bayesian classifiers and Support Vector Machines (SVMs) resulted in an overall accuracy of 54% and 53%, respectively. Furthermore, this paper provides more insight into the challenges of automatic recognition of social touch gestures, including which gestures can be recognized more easily and which are more difficult to recognize.

AB - Touch behavior is of great importance during social interaction. To transfer the tactile modality from interpersonal interaction to other areas such as Human-Robot Interaction (HRI) and remote communication automatic recognition of social touch is necessary. This paper introduces CoST: Corpus of Social Touch, a collection containing 7805 instances of 14 different social touch gestures. The gestures were performed in three variations: gentle, normal and rough, on a sensor grid wrapped around a mannequin arm. Recognition of the rough variations of these 14 gesture classes using Bayesian classifiers and Support Vector Machines (SVMs) resulted in an overall accuracy of 54% and 53%, respectively. Furthermore, this paper provides more insight into the challenges of automatic recognition of social touch gestures, including which gestures can be recognized more easily and which are more difficult to recognize.

KW - EWI-25280

KW - Touch gesture recognition

KW - METIS-309648

KW - Touch corpus

KW - IR-93288

KW - Social Touch

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DO - 10.1145/2663204.2663242

M3 - Conference contribution

SN - 978-1-4503-2885-2

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BT - Proceedings of the 16th International Conference on Multimodal Interaction, ICMI 2014

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ER -

Touching the Void - Introducing CoST: Corpus of Social Touch

Abstract

Publication series

Conference

Keywords

Access to Document

Datasets

Corpus of Social Touch (CoST)

Cite this