Pregled bibliografske jedinice broj: 936222
Object Classification for Child Behavior Observation in the Context of Autism Diagnostics Using a Deep Learning-based Approach
Object Classification for Child Behavior Observation in the Context of Autism Diagnostics Using a Deep Learning-based Approach, 2017., diplomski rad, diplomski, Fakultet elektrotehnike i računarstva, Zagreb
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Naslov
Object Classification for Child Behavior Observation in the Context of Autism Diagnostics Using a Deep Learning-based Approach
Autori
Presečan, Mihael
Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski
Fakultet
Fakultet elektrotehnike i računarstva
Mjesto
Zagreb
Datum
17.07
Godina
2017
Stranica
54
Mentor
Kovačić, Zdenko
Neposredni voditelj
Petric, Frano
Ključne riječi
deep learning, object detection, object classification, Faster R-CNN, ADORE, ADOS, ADOSet, free-play, autism
Sažetak
This research sets the ground for the new task in ADORE protocol - the free play observation. The core problem to solve is to develop accurate, robust and fast object detector. This research have proposed Deep Learning approach for object detection and classification for the child behavior observation task. The task is used in the context of autism diagnostics, which uses the ADOS protocol with it’s standardized toys. Child behavior has been determined by it’s playing with the toys, and in order to detect the toys and the child, a new dataset has been developed. Also, this research had developed algorithms and mechanism to determine child’s attention based on the toys that child is playing with. This thesis disscuses the challenges encountered in the research and their solutions, and as well sets the work for continuing the development of robust and accurate attention analyzer.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Edukacijsko-rehabilitacijske znanosti
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-1024 - Dijagnostika autizma s robotskim evaluatorom (ADORE) (Kovačić, Zdenko, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb