An outlook into the future of egocentric vision

C Plizzari, G Goletto, A Furnari, S Bansal… - International Journal of …, 2024 - Springer
What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …

Diagnostic assessment techniques and non-invasive biomarkers for autism spectrum disorder

D Kakkar - International Journal of E-Health and Medical …, 2019 - igi-global.com
Autism spectrum disorder (ASD) is a complex heterogeneous neurological disorder that has
led to a spectrum of diagnosis techniques. The screening instruments, medical and …

Machine learning classifiers for autism spectrum disorder: a review

D Eman, AWR Emanuel - 2019 4th International conference on …, 2019 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a brain development disorder affects the ability to
communicate and interact socially. There have been many studies using machine learning …

An adaptive multi-robot therapy for improving joint attention and imitation of ASD children

S Ali, F Mehmood, D Dancey, Y Ayaz, MJ Khan… - IEEE …, 2019 - ieeexplore.ieee.org
Robot-mediated therapies for autism spectrum disorder (ASD) have shown promising results
in the past. We have proposed a novel mathematical model based on an adaptive multi …

Comparing the effectiveness of different reinforcement stimuli in a robotic therapy for children with ASD

S Ali, F Mehmood, Y Ayaz, MJ Khan, H Sadia… - IEEE …, 2020 - ieeexplore.ieee.org
Recent research has shown reliability in robotic therapies for improvement in core
impairments of autism. To improve the efficiency of communication using robots, this study …

A multimodal and multilevel system for robotics treatment of autism in children

G Palestra, G Varni, M Chetouani… - Proceedings of the …, 2016 - dl.acm.org
Several studies suggest that robots can play a relevant role to address Autistic Spectrum
Disorder (ASD). This paper presents a humanoid social robot-assisted behavioral system …

Deep neural network-based handheld diagnosis system for autism spectrum disorder

V Khullar, HP Singh, M Bala - Neurology India, 2021 - journals.lww.com
Objective: The aim of the present work was to propose and implement deep neural network
(DNN)-based handheld diagnosis system for more accurate diagnosis and severity …

Rana dijagnostika poremećaja iz autističnog spektra-Teorija, istraživanja i praksa

M Cepanec, S Šimleša, J Stošić - Klinička psihologija, 2015 - hrcak.srce.hr
Sažetak autističnog spektra (PAS) u cijelom svijetu, što je rezultiralo i pojačanim interesom
stručnjaka, znanstvenika i šire javnosti za ovaj poremećaj. Noviji podaci pokazuju da je …

Imitation, focus of attention and social behaviours of children with autism spectrum disorder in interaction with robots

S Šimleša, J Stošić, I Bilić, M Cepanec - Interaction studies, 2022 - jbe-platform.com
Many studies have shown that using robot platforms can be effective for teaching children
with autism spectrum disorder (ASD). The aim of this study was to compare performance on …

Sensor-based technology for social information processing in autism: A review

AE Kowallik, SR Schweinberger - Sensors, 2019 - mdpi.com
The prevalence of autism spectrum disorders (ASD) has increased strongly over the past
decades, and so has the demand for adequate behavioral assessment and support for …