English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Gesture networks: Introducing dynamic time warping and network analysis for the kinematic study of gesture ensembles

Pouw, W., & Dixon, J. A. (2020). Gesture networks: Introducing dynamic time warping and network analysis for the kinematic study of gesture ensembles. Discourse Processes, 57(4), 301-319. doi:10.1080/0163853X.2019.1678967.

Item is

Files

show Files
hide Files
:
Pouw_Dixon_2020_Gesture networks.pdf (Publisher version), 3MB
Name:
Pouw_Dixon_2020_Gesture networks.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Locator:
Open Data OSF (Supplementary material)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Pouw, Wim1, 2, Author           
Dixon, James A.3, Author
Affiliations:
1Erasmus University Rotterdam, Rotterdam, The Netherlands, ou_persistent22              
2Multimodal Language and Cognition, Radboud University Nijmegen, External Organizations, ou_3055480              
3University of Connecticut , Storrs, CT, USA, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: We introduce applications of established methods in time-series and network
analysis that we jointly apply here for the kinematic study of gesture
ensembles. We define a gesture ensemble as the set of gestures produced
during discourse by a single person or a group of persons. Here we are
interested in how gestures kinematically relate to one another. We use
a bivariate time-series analysis called dynamic time warping to assess how
similar each gesture is to other gestures in the ensemble in terms of their
velocity profiles (as well as studying multivariate cases with gesture velocity
and speech amplitude envelope profiles). By relating each gesture event to
all other gesture events produced in the ensemble, we obtain a weighted
matrix that essentially represents a network of similarity relationships. We
can therefore apply network analysis that can gauge, for example, how
diverse or coherent certain gestures are with respect to the gesture ensemble.
We believe these analyses promise to be of great value for gesture
studies, as we can come to understand how low-level gesture features
(kinematics of gesture) relate to the higher-order organizational structures
present at the level of discourse.

Details

show
hide
Language(s): eng - English
 Dates: 2019-10-302020-05
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1080/0163853X.2019.1678967
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Discourse Processes
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Norwood, N.J. : Lawrence Erlbaum Associates
Pages: - Volume / Issue: 57 (4) Sequence Number: - Start / End Page: 301 - 319 Identifier: ISSN: 0163-853X
CoNE: https://pure.mpg.de/cone/journals/resource/954925480576