Pregled bibliografske jedinice broj: 948385
Classification of Child Vocal Behavior for a Robot-Assisted Autism Diagnostic Protocol
Classification of Child Vocal Behavior for a Robot-Assisted Autism Diagnostic Protocol // Proceedings of the 26th Mediterranean Conference on Control and Automation / Mišković, Nikola (ur.).
Zadar, Hrvatska: MCA, 2018. str. 27-32 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 948385 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Classification of Child Vocal Behavior for a
Robot-Assisted Autism Diagnostic Protocol
Autori
Kokot, Mirko ; Petric, Frano ; Cepanec, Maja ; Miklić, Damjan ; Bejić, Ivan ; Kovačić, Zdenko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 26th Mediterranean Conference on Control and Automation
/ Mišković, Nikola - : MCA, 2018, 27-32
ISBN
978-1-5386-7891-6
Skup
The 26th Mediterranean Conference on Control and Automation
Mjesto i datum
Zadar, Hrvatska, 19.06.2018. - 22.06.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Autism, robot assisted diagnosis, vocal behaviour, classification
Sažetak
Autism is a neurodevelopmental disorder affecting an increasing fraction of children, with severe social and economic consequences for affected persons and their families. Including robotic technologies in the diagnostic process could potentially increase its speed and reliability, opening the way towards earlier and more efficient therapy. The diagnostic process requires multimodal interaction, in which the vocal behavior of the child plays an important role. In this paper, we present a method for automatic classification of child vocal behavior, based on supervised learning, which is suitable for real-time execution on an autonomous robot with limited computational resources. The main contribution of the paper is an empirically determined minimal set of sound features, which allow efficient vocal behavior classification of preschool children, relevant in the context of autism diagnostics. The classifier is verified on a dataset combined from publicly accessible audio recordings and recordings collected during diagnostic and therapeutic sessions.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti, Edukacijsko-rehabilitacijske znanosti, Kognitivna znanost (prirodne, tehničke, biomedicina i zdravstvo, društvene i humanističke znanosti)
POVEZANOST RADA
Ustanove:
Edukacijsko-rehabilitacijski fakultet, Zagreb,
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Zdenko Kovačić
(autor)
Maja Cepanec
(autor)
Damjan Miklić
(autor)
Mirko Kokot
(autor)
Frano Petric
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus