CaptureMyEmotion: A mobile app to improve emotion learning for autistic children using sensors

Leijdekkers, P; Gay, V; Wong, F

CaptureMyEmotion: A mobile app to improve emotion learning for autistic children using sensors

Leijdekkers, P

Gay, V

Wong, F

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Publication Type:: Conference Proceeding
Citation:: Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems, 2013, pp. 381 - 384
Issue Date:: 2013-12-09

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Field	Value	Language
dc.contributor.author	Leijdekkers, P https://orcid.org/0000-0003-3579-1175	en_US
dc.contributor.author	Gay, V https://orcid.org/0000-0002-4301-1995	en_US
dc.contributor.author	Wong, F	en_US
dc.date.issued	2013-12-09	en_US
dc.identifier.citation	Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems, 2013, pp. 381 - 384	en_US
dc.identifier.isbn	9781479910533	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26843
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 autistic children's main difficulty: the identification and expression of emotions. This paper describes a mobile app called CaptureMyEmotion that enables autistic children to take photos, 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 learning based on their own pictures, videos or sounds. It gives the carer a means to discuss the identification and expression of emotions. © 2013 IEEE.	en_US
dc.relation.ispartof	Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems	en_US
dc.relation.isbasedon	10.1109/CBMS.2013.6627821	en_US
dc.title	CaptureMyEmotion: A mobile app to improve emotion learning for autistic children using sensors	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0903 Biomedical Engineering	en_US
dc.location.activity	Porto, Portugal	en_US
pubs.embargo.period	Not known	en_US
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 Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

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 autistic children's main difficulty: the identification and expression of emotions. This paper describes a mobile app called CaptureMyEmotion that enables autistic children to take photos, 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 learning based on their own pictures, videos or sounds. It gives the carer a means to discuss the identification and expression of emotions. © 2013 IEEE.

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http://hdl.handle.net/10453/26843