Distinguishing the communicative functions of gestures

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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.
OriginalsprogEngelsk
TitelProceedings of the 5th International Workshop, MLMI 2008
RedaktørerAndrei Popescu-Belis, Rainer Stiefelhagen
Antal sider12
ForlagSpringer
Publikationsdato2008
Sider38-49
ISBN (Trykt)978-3-540-85852-2
StatusUdgivet - 2008
BegivenhedMachine Learning for Multimodal Interaction, 5th International Workshop, MLMI 2008 - Utrecht, Holland
Varighed: 8 sep. 200810 sep. 2008
Konferencens nummer: 5

Konference

KonferenceMachine Learning for Multimodal Interaction, 5th International Workshop, MLMI 2008
Nummer5
LandHolland
ByUtrecht
Periode08/09/200810/09/2008
NavnLecture Notes in Computer Science LNCS 5237
ISSN0302-9743

ID: 9532757