---
abstract: "Robots are assuming an increasingly important role in our society. They now become pets and help support children healing. In other words, they are now trying to entertain an active and affective communication with human agents. However, up to now, such systems have primarily relied on the human agents' ability to empathize with the system. Changes in the behavior of the system could therefore reult in changes of mood or behavior in the human partner. This paper describes experiments we carried out to study the importance of body language in affective communication. The results of the experiments led us to develop a system that can incrementally learn to recognize affective messages conveyed by body postures."
altloc:
  - http://www.lucs.lu.se/ftp/pub/LUCS_Studies/LUCS101/Kleinsmith.pdf
chapter: ~
commentary: ~
commref: ~
confdates: 'August 4-5, 2003'
conference: 'Third International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems'
confloc: 'Boston, MA, USA'
contact_email: ~
creators_id: []
creators_name:
  - family: Kleinsmith
    given: Andrea
    honourific: ''
    lineage: ''
  - family: Bianchi-Berthouze
    given: Nadia
    honourific: ''
    lineage: ''
date: 2003
date_type: published
datestamp: 2004-02-12
department: ~
dir: disk0/00/00/33/49
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name:
  - family: Prince
    given: Christopher G.
    honourific: ''
    lineage: ''
  - family: Berthouze
    given: Luc
    honourific: ''
    lineage: ''
  - family: Kozima
    given: Hideki
    honourific: ''
    lineage: ''
  - family: Bullock
    given: Daniel
    honourific: ''
    lineage: ''
  - family: Stojanov
    given: Georgi
    honourific: ''
    lineage: ''
  - family: Balkenius
    given: Christian
    honourific: ''
    lineage: ''
eprint_status: archive
eprintid: 3349
fileinfo: /style/images/fileicons/application_pdf.png;/3349/1/Kleinsmith.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'gesture recognition, affect recognition, robot-human communication, Categorizing and Learning modules'
lastmod: 2011-03-11 08:55:26
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 169-170
pubdom: TRUE
publication: ~
publisher: Lund University Cognitive Studies
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:50:20
subjects:
  - comp-sci-mach-learn
  - comp-sci-art-intel
  - comp-sci-robot
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Towards Learning Affective Body Gesture
type: confposter
userid: 3507
volume: 101
<script src="//archive-bar.soton.ac.uk/archive-bar.js"></script>