Tražilica projekata

Na ovoj stranici nalazi se popis domaćih i međunarodnih projekata na kojima FER sudjeluje kao nositelj projekta ili partner. Poveznica s imena pojedinog projekta vodi na stranicu na kojoj možete pronaći više detalja o odabranom projektu.

U popisu projekata koriste se sljedeće oznake:

  • Linija financiranja određuje izvor financiranja, npr.:
    • MZOS označava financiranje Ministarstva znanosti, obrazovanja i sporta Republike Hrvatske (MZOS). Broj nakon skraćenice MZOS, npr. 'MZOS 2007', označava godinu u kojoj je projekt započeo s radom. 
    • BICRO označava financiranje Poslovno-inovacijskog centra Hrvatske - BICRO d.o.o., 
    • HZZ označava financiranje Hrvatske zaklade za znanost (stari naziv: NZZ - Nacionalna zaklada za znanost, visoko školstvo i tehnologijski razvoj Republike Hrvatske).
  • Tip određuje vrstu projekta. 
    • ZP označava znanstvene projekte MZOS-a, 
    • INFO označava iProjekte.

Podaci u tražilici preuzimaju se periodično iz baze međunarodnih projekata Sveučilišta u Zagrebu.


Projekti

   

Project

Acronym:
ADORE 
Name:
Dijagnostika autizma s robotskim evaluatorom 
Project status:
From: 2014-09-01 To: 2018-08-31 (Execution)
Type (Programme):
HRZZ 

Croatian partner

Organisation name:
Contact person name:
Prof.dr.sc. Zdenko Kovačić
Contact person tel:

Short description of project

Autism spectrum disorder (ASD) is a developmental disorder characterized by impairment in social interaction, verbal and nonverbal communication and by repetitive behaviors and interests. The diagnosis, which is usually given during the preschool period, depends on the education and experience of human evaluators, which can be susceptible to personal bias. The ongoing collaboration between the researchers from the Faculty of Electrical Engineering and Computing (FER) and Faculty of Education and Rehabilitation Sciences (ERF) initiated the use of humanoid robots in the process of ASD diagnostic procedures in preschool children. The goal of the project is the development of a robot-based diagnostic protocol and testing of its verification in clinical settings. The robots will be used as ASD co-evaluators to help a human evaluator to assess the child behavior objectively. To the best of our knowledge, such a robot-based ASD diagnostics system will be the first of its kind. Technically, this means developing specific robot skills and behaviors to be deployed within the standard clinical diagnostic procedure of ASD. The robots will have two functions: observation and quantitative measurement of child’s social responses; and performance of standardized social presses designed to provoke child response. This involves actions such as analyses of the audio signal and differentiation of vocalizations and speech, detection of eye-gaze direction, performance of different actions and gestures and utilization of human-robot and robot-robot interaction to attract child attention. Our interdisciplinary approach includes ERF's development of diagnostic protocol and its testing on children with and without ASD and FER's realization of needed robot behaviors using methods and algorithms from social signal processing, computer vision, machine learning and cognitive reasoning. This involves work on cooperation, cognition and human-robot interaction, focusing on multimodal communication.