AutisMitr: Emotion Recognition Assistive Tool for Autistic Children
Abstract: Assistive technology has proven to be one of the most significant inventions to aid people with Autism to improve the quality of their lives. In this study, a real-time emotion recognition system for autistic children has been developed. Emotion recognition is implemented by executing three stages: Face identification, Facial Feature extraction, and feature classification. The objective is to frame a system that includes all three stages of emotion recognition activity that executes expeditiously in real time. Thus, Affectiva SDK is implemented in the application. The propound system detects at most 7 facial emotions: anger, disgust, fear, joy, sadness, contempt, and surprise. The purpose for performing this study is to teach emotions to individuals suffering from autism, as they lack the ability to respond appropriately to others emotions. The proposed application was tested with a group of typical children aged 6–14 years, and positive outcomes were achieved.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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AutisMitr: Emotion Recognition Assistive Tool for Autistic Children ; volume:10 ; number:1 ; year:2020 ; pages:259-269 ; extent:11
Open computer science ; 10, Heft 1 (2020), 259-269 (gesamt 11)
- Urheber
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Singh, Akansha
Dewan, Surbhi
- DOI
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10.1515/comp-2020-0006
- URN
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urn:nbn:de:101:1-2410301451270.804223313863
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:20 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Singh, Akansha
- Dewan, Surbhi
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