Towards an evolved immersive experience: Exploring 5G-and beyond-enabled ultra-low-latency communications for augmented and virtual reality

A Hazarika, M Rahmati - Sensors, 2023 - mdpi.com
Augmented reality and virtual reality technologies are witnessing an evolutionary change in
the 5G and Beyond (5GB) network due to their promising ability to enable an immersive and …

Data-driven diagnostics and the potential of mobile artificial intelligence for digital therapeutic phenotyping in computational psychiatry

P Washington, N Park, P Srivastava, C Voss… - Biological Psychiatry …, 2020 - Elsevier
Data science and digital technologies have the potential to transform diagnostic
classification. Digital technologies enable the collection of big data, and advances in …

Effect of wearable digital intervention for improving socialization in children with autism spectrum disorder: a randomized clinical trial

C Voss, J Schwartz, J Daniels, A Kline, N Haber… - JAMA …, 2019 - jamanetwork.com
Importance Autism behavioral therapy is effective but expensive and difficult to access.
While mobile technology–based therapy can alleviate wait-lists and scale for increasing …

Body-coupled power transmission and energy harvesting

J Li, Y Dong, JH Park, J Yoo - Nature Electronics, 2021 - nature.com
Wireless power transmission and energy harvesting techniques could be used to power and
operate devices in, on and around the human body. However, near-field power transmission …

[HTML][HTML] Classifying autism from crowdsourced semistructured speech recordings: machine learning model comparison study

NA Chi, P Washington, A Kline, A Husic… - JMIR pediatrics and …, 2022 - pediatrics.jmir.org
Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder that results
in altered behavior, social development, and communication patterns. In recent years …

Improved socio-emotional and behavioral functioning in students with autism following school-based smartglasses intervention: Multi-stage feasibility and controlled …

A Vahabzadeh, NU Keshav, R Abdus-Sabur… - Behavioral …, 2018 - mdpi.com
Background: Students with Autism Spectrum Disorder (ASD) commonly demonstrate
prominent social communication deficits, symptoms of attention-deficit/hyperactivity disorder …

[HTML][HTML] Improved digital therapy for developmental pediatrics using domain-specific artificial intelligence: machine learning study

P Washington, H Kalantarian, J Kent… - JMIR pediatrics and …, 2022 - pediatrics.jmir.org
Background Automated emotion classification could aid those who struggle to recognize
emotions, including children with developmental behavioral conditions such as autism …

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 …

[HTML][HTML] The classification of abnormal hand movement to aid in autism detection: Machine learning study

A Lakkapragada, A Kline, OC Mutlu… - JMIR Biomedical …, 2022 - biomedeng.jmir.org
Background A formal autism diagnosis can be an inefficient and lengthy process. Families
may wait several months or longer before receiving a diagnosis for their child despite …

A mobile game platform for improving social communication in children with autism: a feasibility study

Y Penev, K Dunlap, A Husic, C Hou… - Applied clinical …, 2021 - thieme-connect.com
Background Many children with autism cannot receive timely in-person diagnosis and
therapy, especially in situations where access is limited by geography, socioeconomics, or …