Helping Autistic Children Understand Their Emotions Using Facial Expression Recognition and Mobile Technologies

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dc.contributor.author Gay, VC
dc.contributor.author Leijdekkers, P
dc.contributor.author Wu, Q
dc.contributor.editor Wigand, DL
dc.contributor.editor Carlsson, C
dc.contributor.editor Clarke, R
dc.contributor.editor Pucihar, A
dc.contributor.editor Borstnar, MK
dc.date.accessioned 2014-04-03T02:23:33Z
dc.date.issued 2013-01
dc.identifier.citation 26th Bled eConference eInnovations, 2013, pp. 409 - 420
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/23619
dc.description.abstract One of the main challenges for autistic children is to identify and express emotions. Many emotion-learning apps are available for smartphones and tablets to assist autistic children and their carers. However, they do not use the full potential offered by mobile technology, such as using facial expression recognition and wireless biosensors to recognise and sense emotions. To fill this gap we developed CaptureMyEmotion, an Android App that uses wireless sensors to capture physiological data together with facial expression recognition to provide a very personalised way to help autistic children learn about their emotions. The App enables children to capture photos, videos or sounds, and simultaneously attach emotion data and a self-portrait photo. The material can then be reviewed and discussed together with a carer at a later stage. CaptureMyEmotion has the potential to help autistic children integrate better in the society by providing a new way for them to understand their emotions.
dc.format Shannon Brown
dc.publisher AISeL
dc.title Helping Autistic Children Understand Their Emotions Using Facial Expression Recognition and Mobile Technologies
dc.type Conference Proceeding
dc.parent 26th Bled eConference eInnovations
dc.journal.number en_US
dc.publocation Bled, Slovenia en_US
dc.identifier.startpage 409 en_US
dc.identifier.endpage 420 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.conference 26th Bled eConference eInnovations
dc.for 0806 Information Systems
dc.for 080502 Mobile Technologies
dc.for 111711 Health Information Systems (Incl. Surveillance)
dc.personcode 990935
dc.personcode 000748
dc.personcode 040221
dc.percentage 40 en_US
dc.classification.name Mobile Technologies en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom 26th Bled eConference eInnovations en_US
dc.date.activity 20130609 en_US
dc.date.activity 2013-06-09
dc.location.activity Bled, Slovenia en_US
dc.description.keywords M-health, Emotion detection, Facial expression detection, Autism, Personalised technology, Affective computing en_US
dc.description.keywords M-health, Emotion detection, Facial expression detection, Autism, Personalised technology, Affective computing
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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