Capture My Emotion: a Mobile App to Improve Emotion Learning for Autistic Children Using Sensors

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dc.contributor.author Leijdekkers, Peter en_US
dc.contributor.author Gay, Valerie en_US
dc.contributor.editor Pedro Pereira Rodrigues en_US
dc.date.accessioned 2013-11-03T17:05:42Z
dc.date.available 2013-11-03T17:05:42Z
dc.date.issued 2013 en_US
dc.identifier 2012007469 en_US
dc.identifier.citation Leijdekkers, Peter and Gay, Valerie 2013, 'Capture My Emotion: a Mobile App to Improve Emotion Learning for Autistic Children Using Sensors', IEEE Computer Society, Piscataway, NJ, pp. 1-4. en_US
dc.identifier.issn en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/24061
dc.description.abstract Autism Spectrum Disorder (ASD) is estimated to affect one in eighty-eight children and many mobile apps are available from Google Play or Apple store to help these children and their carer. Our research into apps for autistic children identified that none of the apps use the full potential offered by mobile technology and sensors to overcome one of autisticc children's main difficulty: the identification and expression of emotions. This paper describes a mobile apps called CaptureMyEmotion that enables autistic childrens to take photo, videos or sounds, and at the same time senses their arousal level using a wireless sensor. It also allows the child to comment on their emotion at the time of capture. The app has the potential to help autistic children improve their emotions lerating based on their own pictures, videos or sounds. It gives the carer a means to discuss the identification and expressionn of emotions. en_US
dc.language English en_US
dc.publisher IEEE Computer Society en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/CBMS.2013.6627821 en_US
dc.title Capture My Emotion: a Mobile App to Improve Emotion Learning for Autistic Children Using Sensors en_US
dc.parent 26th IEEE International Symposium on Computer Based Medical Systems en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Piscataway, NJ en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 4 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.for 111711 en_US
dc.personcode 040221 en_US
dc.personcode 990935 en_US
dc.percentage 40 en_US
dc.classification.name Health Information Systems (incl. Surveillance) en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity 20130620 en_US
dc.location.activity Porto, Portugal en_US
dc.description.keywords en_US
dc.staffid 990935 en_US


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