Distinguishing the communicative functions of gestures

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

Standard

Distinguishing the communicative functions of gestures. / Jokinen, Kristiina; Navarretta, Costanza; Paggio, Patrizia.

Proceedings of the 5th International Workshop, MLMI 2008. ed. / Andrei Popescu-Belis; Rainer Stiefelhagen. Springer, 2008. p. 38-49 (Lecture Notes in Computer Science LNCS 5237).

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

Harvard

Jokinen, K, Navarretta, C & Paggio, P 2008, Distinguishing the communicative functions of gestures. in A Popescu-Belis & R Stiefelhagen (eds), Proceedings of the 5th International Workshop, MLMI 2008. Springer, Lecture Notes in Computer Science LNCS 5237, pp. 38-49, Machine Learning for Multimodal Interaction, 5th International Workshop, MLMI 2008, Utrecht, Netherlands, 08/09/2008. <https://rdcu.be/clNHG>

APA

Jokinen, K., Navarretta, C., & Paggio, P. (2008). Distinguishing the communicative functions of gestures. In A. Popescu-Belis, & R. Stiefelhagen (Eds.), Proceedings of the 5th International Workshop, MLMI 2008 (pp. 38-49). Springer. Lecture Notes in Computer Science LNCS 5237 https://rdcu.be/clNHG

Vancouver

Jokinen K, Navarretta C, Paggio P. Distinguishing the communicative functions of gestures. In Popescu-Belis A, Stiefelhagen R, editors, Proceedings of the 5th International Workshop, MLMI 2008. Springer. 2008. p. 38-49. (Lecture Notes in Computer Science LNCS 5237).

Author

Jokinen, Kristiina ; Navarretta, Costanza ; Paggio, Patrizia. / Distinguishing the communicative functions of gestures. Proceedings of the 5th International Workshop, MLMI 2008. editor / Andrei Popescu-Belis ; Rainer Stiefelhagen. Springer, 2008. pp. 38-49 (Lecture Notes in Computer Science LNCS 5237).

Bibtex

@inproceedings{8583a5d0dbd411dd9473000ea68e967b,
title = "Distinguishing the communicative functions of gestures",
abstract = "This paper deals with the results of a machine learning experiment conducted on annotated gesture data from two case studies (Danish and Estonian). The data concern mainly facial displays, that are annotated with attributes relating to shape and dynamics, as well as communicative function. The results of the experiments show that the granularity of the attributes used seems appropriate for the task of distinguishing the desired communicative functions. This is a promising result in view of a future automation of the annotation task.",
author = "Kristiina Jokinen and Costanza Navarretta and Patrizia Paggio",
year = "2008",
language = "English",
isbn = "978-3-540-85852-2",
series = "Lecture Notes in Computer Science LNCS 5237",
publisher = "Springer",
pages = "38--49",
editor = "Andrei Popescu-Belis and Rainer Stiefelhagen",
booktitle = "Proceedings of the 5th International Workshop, MLMI 2008",
address = "Switzerland",
note = "null ; Conference date: 08-09-2008 Through 10-09-2008",

}

RIS

TY - GEN

T1 - Distinguishing the communicative functions of gestures

AU - Jokinen, Kristiina

AU - Navarretta, Costanza

AU - Paggio, Patrizia

N1 - Conference code: 5

PY - 2008

Y1 - 2008

N2 - This paper deals with the results of a machine learning experiment conducted on annotated gesture data from two case studies (Danish and Estonian). The data concern mainly facial displays, that are annotated with attributes relating to shape and dynamics, as well as communicative function. The results of the experiments show that the granularity of the attributes used seems appropriate for the task of distinguishing the desired communicative functions. This is a promising result in view of a future automation of the annotation task.

AB - This paper deals with the results of a machine learning experiment conducted on annotated gesture data from two case studies (Danish and Estonian). The data concern mainly facial displays, that are annotated with attributes relating to shape and dynamics, as well as communicative function. The results of the experiments show that the granularity of the attributes used seems appropriate for the task of distinguishing the desired communicative functions. This is a promising result in view of a future automation of the annotation task.

M3 - Article in proceedings

SN - 978-3-540-85852-2

T3 - Lecture Notes in Computer Science LNCS 5237

SP - 38

EP - 49

BT - Proceedings of the 5th International Workshop, MLMI 2008

A2 - Popescu-Belis, Andrei

A2 - Stiefelhagen, Rainer

PB - Springer

Y2 - 8 September 2008 through 10 September 2008

ER -

ID: 9532757