Audio-based Emotion Estimation for Interactive Robotic Therapy for Children with Autism Spectrum Disorder

dc.contributor.authorKim, Jonathan C.en
dc.contributor.authorAzzi, Paulen
dc.contributor.authorJeon, Myounghoonen
dc.contributor.authorHoward, Ayanna M.en
dc.contributor.authorPark, Chung Hyuken
dc.date.accessioned2025-01-09T13:19:53Zen
dc.date.available2025-01-09T13:19:53Zen
dc.date.issued2017-01-01en
dc.description.abstractRecently, efforts in the development of speech recognition systems and robots have come to fruition with an overflow of applications in our daily lives. However, we are still far from achieving natural interaction between humans and robots, given that robots do not take into account the emotional state of speakers. The objective of this research is to create an automatic emotion classifier integrated with a robot, such that the robot can understand the emotional state of a human user by analyzing the speech signals from the user. This becomes particularly relevant in the realm of using assistive robotics to tailor therapeutic techniques towards assisting children with autism spectrum disorder (ASD). Over the past two decades, the number of children being diagnosed with ASD has been rapidly increasing, yet the clinical and societal support have not been enough to cope with the needs. Therefore, finding alternative, affordable, and accessible means of therapy and assistance has become more of a concern. Improving audio-based emotion prediction for children with ASD will allow for the robotic system to properly assess the engagement level of the child and modify its responses to maximize the quality of interaction between the robot and the child and sustain an interactive learning environment.en
dc.description.versionPublished versionen
dc.format.extentPages 39-44en
dc.format.extent6 page(s)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1109/URAI.2017.7992881en
dc.identifier.issn2325-033Xen
dc.identifier.orcidJeon, Myounghoon [0000-0003-2908-671X]en
dc.identifier.urihttps://hdl.handle.net/10919/123991en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000426976900007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.relation.urihttps://doi.org/10.1109/urai.2017.7992881en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectAssistive Roboticsen
dc.subjectAutism Spectrum Disorderen
dc.subjectSpeech Analysisen
dc.subjectAffective Computingen
dc.titleAudio-based Emotion Estimation for Interactive Robotic Therapy for Children with Autism Spectrum Disorderen
dc.title.serial2017 14TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI)en
dc.typeConference proceedingen
dc.type.dcmitypeTexten
dc.type.otherProceedings Paperen
dc.type.otherMeetingen
dc.type.otherBook in seriesen
pubs.finish-date2017-07-01en
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/Engineeringen
pubs.organisational-groupVirginia Tech/Engineering/Industrial and Systems Engineeringen
pubs.organisational-groupVirginia Tech/All T&R Facultyen
pubs.organisational-groupVirginia Tech/Engineering/COE T&R Facultyen
pubs.start-date2017-06-28en

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