A5100342392- Autism Spectrum Disorder Research
- Child Development and Digital Technology
- Emotion and Mood Recognition
- Genetics and Neurodevelopmental Disorders
- Assistive Technology in Communication and Mobility
- Gaze Tracking and Assistive Technology
- Face and Expression Recognition
- Behavioral and Psychological Studies
- Attention Deficit Hyperactivity Disorder
- Face recognition and analysis
- Tactile and Sensory Interactions
- Obsessive-Compulsive Spectrum Disorders
- Infant Health and Development
- Cerebral Palsy and Movement Disorders
- Mental Health Research Topics
- Family and Disability Support Research
- Categorization, perception, and language
- Human-Automation Interaction and Safety
- Sleep and related disorders
- Language, Metaphor, and Cognition
- Intelligent Tutoring Systems and Adaptive Learning
- Psychosomatic Disorders and Their Treatments
- Sleep and Wakefulness Research
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Social Robot Interaction and HRI
Sun Yat-sen Memorial Hospital
2025
Sun Yat-sen University
2025
Central China Normal University
2012-2024
Chaohu Hospital of Anhui Medical University
2024
Air Force Medical University
2023
Artificial Intelligence in Medicine (Canada)
2021
Fire safety education is essential to every student on campus.Fire knowledge learning and operational practice are both important.There evidence that the virtual reality (VR) based educational method can be a novel effective approach practice.However, existing VR-based system for fire has some shortcomings such as lack of interactivity high equipment complexity, resulting in low practicability.In order improve effect campus, this paper establishes model architecture VR technology.The...
Empathy ability is one of the most important social communication skills in early childhood development. To analyze children's empathy ability, facial expression analysis (FEA) an effective way due to its understand emotional states. Previous works mainly focus on recognizing categories yet fail estimate intensity, latter which more for fine-grained emotion analysis. this end, article first proposes with both and intensities expressions. A novel FEA method based intensity label distribution...
A novel method using hybrid geometric and appearance features of the difference between neutral fully expressive facial expression images is proposed for recognition in this paper. The tends to emphasize parts that are changed from face eliminate way identity image. include feature point displacements local texture differences normalized images. achieved an average accuracy 95% extended Cohn-Kanade database with a Support Vector Machine (SVM) classification method.
How to improve social communication skills for children, especially those with difficulties such as attention deficit/hyperactivity disorder, has long been a challenge faced by researchers and therapists. Recent research indicates that computer-assisted approaches may be effective in addressing this issue. This study aimed understand children's behaviors then provide appropriate support their skills. We have established an intelligent system, inside which child can freely play interactive...
The recent success of Large Language Models (LLMs) has catalyzed an increasing interest in their self-correction capabilities. This paper presents a comprehensive investigation into the intrinsic LLMs, attempting to address ongoing debate about its feasibility. Our research identified important latent factor - ``confidence'' LLMs during process. Overlooking this may cause models over-criticize themselves, resulting unreliable conclusions regarding efficacy self-correction. We have...
Facial expression processing mainly depends on whether the facial features related to expressions can be fully acquired, and appropriate strategies adopted according different conditions. Children with autism spectrum disorder (ASD) have difficulty accurately recognizing responding appropriately, which is regarded as an important cause of their social disorders. This study used eye tracking technology explore internal mechanism in children ASD under influence spatial frequency inversion...
Empathy is an important social ability in the early childhood development.One of significant characteristics children with autism spectrum disorder (ASD) their lack empathy, which makes it difficult for them to feel and understand other people's emotions judge behavioral intentions, leading disorders.This research designs implements a facial expression analysis system that could obtain analyze real-time expressions when viewing stimulus materials, then evaluate differences empathy between...
With the growing scholarly and clinical fascination with somatic symptom disorder (SSD), a bibliometric analysis is lacking. To conduct to investigate current status frontiers of SSD. The documents related SSD are obtained from web science core collection database (WoSCC), VOSviewer 1.6.16 January 1, 2000 December 31, 2023, WoSCC's literature wire were used analysis. A total 567 included, 2325 authors across 947 institutions 57 countries/regions have contributed research, published in 277...
Autistic children have severe communication and social interaction disorders. With appropriate stimulating learning materials, game-based e-learning intervention is a new approach to improve skills of autistic children. At the same time, analysis also necessary. In this study, eye-tracking technology was used analyze visual attention characteristics watching different forms complexities stimuli. 23 were recruited as research participants, using cartoon real stimuli experimental materials....
Abstract Emotional contagion is believed to be the evolutionary basis of empathy. Recently, empathy was also confirmed exist in rodents. However, underlying mechanism remains elusive. Using a social defeat model, we found that depressive emotion can transmitted between cagemates mice through odor cues. Odors from defeated containing information about danger induced avoidance, producing force opposite orientation naïve mice. The medial prefrontal cortex (mPFC) chooses flight or approach after...
To effectively evaluate the gross motor ability of autistic children, we proposed a method computerised evaluation skills (CEGM). The CEGM integrates Dynamic Time Warping (DTW) and OpenPose technology to automatically detect key joints return score. Ten items were selected for based on subtest Psychoeducational Profile – Third Edition (PEP-3) scale, including upper limb movement, lower body coordination performance. 30 participants (males: 23, female: 7) with an average age 5.00 years...
Visual perception is the foundation of children's learning and cognitive development. Abnormal visual one typical symptoms children with autism spectrum disorder (ASD). They urgently need early diagnosis regular assessment to develop appropriate intervention strategies. However, there a serious contradiction between rapidly increasing demand for limited supply professional assessment. As convenient effective supplement, computer-aided methods have become development trend ASD This article...
Dealing with non-stationarity in environments (e.g., the transition dynamics) and objectives reward functions) is a challenging problem that crucial real-world applications of reinforcement learning (RL). While most current approaches model changes as single shared embedding vector, we leverage insights from recent causality literature to terms individual latent change factors, causal graphs across different environments. In particular, propose Factored Adaptation for Non-Stationary RL...
Issues with joint attention, especially avoiding eye contact others, are considered one of the core defects found in early stages children autism spectrum disorder (ASD). This study is first to use pupil reflection technology, which can be used present an image participants within virtual character's eyes on screen, thereby arousing their interest and promoting character during interaction. The evaluated efficacy as internal cue improve a participant's attention. A total 63 ASD were asked...
Some previous studies indicate that impaired social attention mainly results in disorders autistic children. In the mode of children, orientation and joint are particularly important. The influence different intensity ecological validity on them worthy further study. This study used realistic paintings with moderate as experimental materials, to design isolated individual scene interaction scene, explore impact It found scenes without interaction, patterns children typical developing were...
Abstract Children with autism spectrum disorder (ASD) are at high risk for sleep disturbances, but the mechanism underlying association between disturbances and ASD core symptoms is largely unknown. This study examined relationship symptoms, mediating role of gaze patterns during facial emotion recognition (FER) task. The included 57 children 59 age‐ intelligence‐matched typically developing (TD) controls aged 3–7 years. Parents reported their children's using Children's Sleep Habits...
Visual motor integration (VMI) is considered a key predictor of adaptive functioning in children with autism spectrum disorder (ASD). However, information regarding the VMI characteristics ASD scarce because existing assessment methods have focused on outcome measures while neglecting process due to high failure rates ASD. Therefore, current pilot study was conducted explore appropriate indicators for construction comprehensive evaluation. First, five computer games were designed provide...