A review of and roadmap for data science and machine learning for the neuropsychiatric phenotype of autism

P Washington, DP Wall - Annual Review of Biomedical Data …, 2023‏ - annualreviews.org
Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44
children. Like many neurological disorder phenotypes, the diagnostic features are …

[HTML][HTML] Exploring the impact of augmented reality in children and adolescents with autism spectrum disorder: A systematic review

C Berenguer, I Baixauli, S Gómez, MEP Andrés… - International Journal of …, 2020‏ - mdpi.com
Autistic Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by
persistent difficulties in communication and social interaction along with a restriction in …

Speculative privacy concerns about ar glasses data collection

A Gallardo, C Choy, J Juneja, E Bozkir… - Proceedings on …, 2023‏ - petsymposium.org
As technology companies develop mass market augmented reality (AR) glasses that are
increasingly sensor-laden and affordable, uses of such devices pose potential privacy and …

[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review

MO Ribas, M Micai, A Caruso, F Fulceri, M Fazio… - Neuroscience & …, 2023‏ - Elsevier
In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …

[HTML][HTML] Applications of smart glasses in applied sciences: A systematic review

D Kim, Y Choi - Applied Sciences, 2021‏ - mdpi.com
The aim of this study is to review academic papers on the applications of smart glasses.
Among 82 surveyed papers, 57 were selected through filtering. The papers were published …

[HTML][HTML] The contribution of machine learning and eye-tracking technology in autism spectrum disorder research: A systematic review

KF Kollias, CK Syriopoulou-Delli, P Sarigiannidis… - Electronics, 2021‏ - mdpi.com
Early and objective autism spectrum disorder (ASD) assessment, as well as early
intervention are particularly important and may have long term benefits in the lives of ASD …

Eye tracking biomarkers for autism spectrum disorder detection using machine learning and deep learning techniques

RA Jeyarani, R Senthilkumar - Research in Autism Spectrum Disorders, 2023‏ - Elsevier
Eye tracking is a promising tool for Autism Spectrum Disorder (ASD) detection in both
children and adults. An important aspect of social communication is kee** eye contact …

Wearable technology for signal acquisition and interactive feedback in autism spectrum disorder intervention: A review

X Gao, L Yin, S Tian, YA Huang, Q Ji - IEEE Sensors Journal, 2024‏ - ieeexplore.ieee.org
Autism spectrum disorder (ASD) interventions increasingly harness the capabilities of
wearable technology, utilizing predictive analytics of physiological signals and personalized …

Global trends and hotspots in the digital therapeutics of autism spectrum disorders: a bibliometric analysis from 2002 to 2022

X Wu, H Deng, S Jian, H Chen, Q Li, R Gong… - Frontiers in …, 2023‏ - frontiersin.org
Introduction Autism spectrum disorder (ASD) is a severe neurodevelopmental disorder that
has become a major cause of disability in children. Digital therapeutics (DTx) delivers …

Feature replacement methods enable reliable home video analysis for machine learning detection of autism

E Leblanc, P Washington, M Varma, K Dunlap… - Scientific reports, 2020‏ - nature.com
Abstract Autism Spectrum Disorder is a neuropsychiatric condition affecting 53 million
children worldwide and for which early diagnosis is critical to the outcome of behavior …