Naslov
Object tracking implementation for a robot- assisted autism diagnostic imitation task

Autori
Hrvatinić, Kruno ; Malovan, Luka ; Petric, Frano ; Miklić, Damjan ; Kovačić, Zdenko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 3rd Croatian Computer Vision Workshop CCVW 2014 / - , 2014, 33-38

Skup
The 3rd Croatian Computer Vision Workshop CCVW 2014

Mjesto i datum
Zagreb, Hrvatska, 16.09.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Autism spectrum disorder, NAO, humanoid robot, object tracking, imitation

Sažetak
Autism spectrum disorders (ASD) is a term used to describe a range of neurodevelopmental disorders affecting about 1% of the population, with increasing prevalence. Due to the absence of any physiological markers, diagnostics is based purely on behavioral tests. The diagnostic procedure can in some cases take years to complete, and the outcome depends greatly on the expertise and experience of the clinician. The predictable and consistent behavior and rapidly increasing sensing capabilities of robotic devices have the potential to contribute to a faster and more objective diagnostic procedure. However, significant scientific and technological breakthroughs are needed, particularly in the field of robotic perception, before robots can become useful tools for diagnosing autism. In this paper, we present computer vision algorithms for performing gesture imitation. This is a standardized diagnostic task, usually performed by clinicians, that was implemented on a small-scale humanoid robot. We describe the algorithms used to perform object recognition, grasping, object tracking and gesture evaluation in a clinical setting. We present an analysis of the algorithms in terms of reliability and performance and describe the first clinical trials.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti

POVEZANOST RADA