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Autism Spectrum Disorder (ASD) is a developmental disorder that often impairs a child's normal development of the brain. According to CDC, it is estimated that 1 in 6 children in the US suffer from development disorders, and 1 in 68…

信号处理 · 电气工程与系统科学 2019-07-03 Yasith Jayawardana , Mark Jaime , Sashi Thapaliya , Sampath Jayarathna

Autism Spectrum Disorder (ASD) is a multi-factorial neurodevelopmental disorder, whose causes are still poorly understood. Effective therapies to reduce all the heterogeneous symptoms of the disorder do not exists yet, but behavioural…

神经元与认知 · 定量生物学 2025-06-02 Elisa Ferrari , Alessandra Retico , Alessandro Cellerino , Davide Bacciu

Joint Attention (JA), a crucial social skill for developing shared focus, is often impaired in children with Autism Spectrum Disorder (ASD), affecting social communication and highlighting the need for early intervention. Addressing gaps in…

Conventionally, evaluation for the diagnosis of Autism spectrum disorder is done by a trained specialist through questionnaire-based formal assessments and by observation of behavioral cues under various settings to capture the early…

计算机视觉与模式识别 · 计算机科学 2023-11-28 Vaibhavi Lokegaonkar , Vijay Jaisankar , Pon Deepika , Madhav Rao , T K Srikanth , Sarbani Mallick , Manjit Sodhi

A developmental disorder that severely damages communicative and social functions, the Autism Spectrum Disorder (ASD) also presents aspects related to mental rigidity, repetitive behavior, and difficulty in abstract reasoning. More,…

神经与进化计算 · 计算机科学 2018-11-20 Daniele Q. M. Madureira , Vera Lucia P. S. Caminha , Rogerio Salvini

In this paper we utilized the concept of stable phase synchronization topography - synchrostates - over the scalp derived from EEG recording for formulating brain connectivity network in Autism Spectrum Disorder (ASD) and typically-growing…

Autism Spectrum Disorder (ASD) is often underdiagnosed in females due to gender-specific symptom differences overlooked by conventional diagnostics. This study evaluates machine learning models, particularly Random Forest and convolutional…

计算机视觉与模式识别 · 计算机科学 2024-11-12 Mohammed Aledhari , Mohamed Rahouti , Ali Alfatemi

In this article, we introduce a novel problem of audio-visual autism behavior recognition, which includes social behavior recognition, an essential aspect previously omitted in AI-assisted autism screening research. We define the task at…

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by impairments in social interaction, communication, as well as restrained or stereotyped behaviors. The inherent heterogeneity within the autism…

神经元与认知 · 定量生物学 2024-03-28 Caroline Gora , Ana Dudas , Océane Vaugrente , Lucile Drobecq , Emmanuel Pecnard , Gaëlle Lefort , Lucie P. Pellissier

Autism Spectrum Disorder (ASD) is an umbrella term for a wide range of developmental disorders. For the past two decades, researchers proposed the use of various technologies in order to tackle specific symptoms of the disorder. Although…

人机交互 · 计算机科学 2018-07-31 Shadan Golestan , Pegah Soleiman , Hadi Moradi

Background: Autism spectrum disorder (ASD) is characterized by significant clinical and biological heterogeneity. Conventional group-mean analyses of eye movements often mask individual atypicalities, potentially overlooking critical…

神经元与认知 · 定量生物学 2026-05-12 Emiko Shishido , Seiko Miyata , Tetsuya Yamamoto , Masaki Fukunaga , Ryota Hashimoto , Kenichiro Miura , Norio Ozaki

The emergence of large language models (LLMs), augmented reality (AR), and user interface/user experience (UI/UX) design in therapies for children, especially with disorders like autism spectrum disorder (ASD), is studied in detail in this…

人机交互 · 计算机科学 2025-07-09 Biplov Paneru

Autism Spectrum Disorders (ASDs) are often associated with specific atypical postural or motor behaviors, of which Stereotypical Motor Movements (SMMs) have a specific visibility. While the identification and the quantification of SMM…

神经与进化计算 · 计算机科学 2016-06-08 Nastaran Mohammadian Rad , Andrea Bizzego , Seyed Mostafa Kia , Giuseppe Jurman , Paola Venuti , Cesare Furlanello

Anatomical and functional brain studies have converged to the hypothesis that Autism Spectrum Disorders (ASD) are associated with atypical connectivity. Using a modified resting-state paradigm to drive subjects' attention, we provide…

神经元与认知 · 定量生物学 2012-11-21 Pablo Barttfeld , Bruno Wicker , Sebastián Cukier , Silvana Navarta , Sergio Lew , Ramón Leiguarda , Mariano Sigman

Scatterplots are used for a variety of visual analytics tasks, including cluster identification, and the visual encodings used on a scatterplot play a deciding role on the level of visual separation of clusters. For visualization designers,…

人机交互 · 计算机科学 2020-09-22 Ghulam Jilani Quadri , Paul Rosen

The existing computational visual attention systems have focused on the objective to basically simulate and understand the concept of visual attention system in adults. Consequently, the impact of observer's age in scene viewing behavior…

计算机视觉与模式识别 · 计算机科学 2019-04-30 Onkar Krishna , Kiyoharu Aizawa , Go Irie

Computer vision and machine learning are the linchpin of field of automation. The medicine industry has adopted numerous methods to discover the root causes of many diseases in order to automate detection process. But, the biomarkers of…

计算机视觉与模式识别 · 计算机科学 2021-11-29 Hamza Sharif , Rizwan Ahmed Khan

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder, and behavioral treatment interventions have shown promise for young children with ASD. However, there is limited progress in understanding the effect of each type of…

神经元与认知 · 定量生物学 2019-09-04 Juntang Zhuang , Nicha C. Dvornek , Qingyu Zhao , Xiaoxiao Li , Pamela Ventola , James S. Duncan

A plethora of research in the literature shows how human eye fixation pattern varies depending on different factors, including genetics, age, social functioning, cognitive functioning, and so on. Analysis of these variations in visual…

计算机视觉与模式识别 · 计算机科学 2020-10-27 Shafin Rahman , Sejuti Rahman , Omar Shahid , Md. Tahmeed Abdullah , Jubair Ahmed Sourov

Dimensionality reduction (DR) techniques are often characterized by whether they preserve global, high-level structures in the data or local, neighborhood structures. This distinction matters in visualization: global methods can obscure…

机器学习 · 计算机科学 2026-05-04 Kaviru Gunaratne , Stephen Kobourov , Jacob Miller