- Autism Spectrum Disorder Research
- Gaze Tracking and Assistive Technology
- EEG and Brain-Computer Interfaces
- Child Development and Digital Technology
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Energy Efficient Wireless Sensor Networks
- Advanced Vision and Imaging
- Emotion and Mood Recognition
- Genetics and Neurodevelopmental Disorders
- Face Recognition and Perception
- Advanced Sensor and Control Systems
- Photoreceptor and optogenetics research
- Visual Attention and Saliency Detection
- Child and Animal Learning Development
- Virology and Viral Diseases
- Vestibular and auditory disorders
- Ideological and Political Education
- Advanced Computational Techniques and Applications
- Glaucoma and retinal disorders
- Image Enhancement Techniques
- Simulation and Modeling Applications
- Neuroscience and Neuropharmacology Research
- Mobile Ad Hoc Networks
- Obsessive-Compulsive Spectrum Disorders
Xi'an Institute of Optics and Precision Mechanics
2022-2025
Chinese Academy of Sciences
2022-2025
Nankai University
2025
Ruijin Hospital
2018-2024
Southwest Medical University
2024
Peking University
2010-2024
State Grid Corporation of China (China)
2024
Yale University
2014-2023
China Electric Power Research Institute
2019-2022
Spectral Imaging Laboratory (United States)
2022
Portrait relighting aims to render a face image under different lighting conditions. Existing methods do not explicitly consider some challenging effects such as specular and shadow, thus may fail in handling extreme In this paper, we propose novel framework that models multiple reflectance channels for single portrait relighting, including the facial albedo, geometry well two effects, i.e. , shadow. These are finally composed generate relit results via deep neural networks. Current datasets...
Eye tracking (ET) is a powerful methodology for studying attentional processes through quantification of eye movements. The precision, usability, and cost-effectiveness ET render it promising platform developing biomarkers use in clinical trials autism spectrum disorder (ASD).
Infants' poor motor abilities limit their interaction with environment and render studying infant cognition notoriously difficult. Exceptions are eye movements, which reach high accuracy early, but generally do not allow manipulation of the physical environment. In this study, real-time tracking is used to put 6- 8-month-old infants in direct control visual surroundings study fundamental problem discovery agency, i.e. ability infer that certain sensory events caused by one's own actions. We...
Background Impaired attention to faces of interactive partners is a marker for autism spectrum disorder ( ASD ) in early childhood. However, it unclear whether children with avoid or find them less salient and the phenomenon linked presence eye contact speech. Methods We investigated impacts speech SP direct gaze DG on 22‐month‐old toddlers n = 50) typically developing controls TD , 47) using Selective Social Attention 2.0 SSA 2.0) task. The task consisted four conditions where (+) absence...
Channel selection is a key topic in brain-computer interface (BCI). Task-irrelevant and redundant channels used BCI may lead to low classification accuracy, high computational complexity, inconvenience for application. By selecting optimal channels, the performance of could enhance significantly. In this paper, new binary harmony search (BHS) proposed select channel sets optimize system accuracy. The BHS implemented on training data test are evaluate selected channels. sparse...
Introduction Researchers have developed the social value orientation (SVO) framework to describe prosocial tendencies. However, existing tools for measuring SVO lack sufficient attention effect of option inequality, driven by inequality-aversion motive. In this research, we conducted an eye-tracking experiment compare traditional measure with inequality-controlled condition, investigating how it influences estimated values and underlying process mechanisms. Methods A within-subjects was 65...
Existing studies have shown that the attentional function of epilepsy is prone to be impaired. However, characterization brain connectivity behind this impairment remains uncertain. This study investigates attention-related in 92 patients with temporal lobe and 78 healthy controls using a 32-channel EEG monitor during an attention network test. Compared controls, showed reduced temporal–occipital alerting orienting networks, but increased frontal–occipital executive network. Additionally,...
Background The neuropathologic mechanism of primary insomnia (PI) females remains unclear. This study aims to investigate the features amplitude low-frequency fluctuations (ALFF) and regional homogeneity (ReHo) in with PI using functional magnetic resonance imaging (fMRI), then explore abnormalities connectivity (FC). Materials methods A total 39 female patients 31 healthy controls (HC) were enrolled study. sleep condition was assessed Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity...
In their expanding role as tutors, home and healthcare assistants, robots must effectively interact with individuals of varying ability temperament. Indeed, deploying in long-term social engagements will almost certainly require to reliably detect adapt changes the demeanor partners promote trust more productive collaboration. However, recognition emotional state typically relies on interpretation very subtle cues, often from one person next. addition, while facial expressions, body posture...
Multiple eye-tracking studies have highlighted the "atypical" nature of social attention in autism. However, it is unclear how or "typical" should be quantified. We developed a method for identifying moments when members group looked at similar places (High-Cohesion Time Frames; HCTFs). defined typicality as proximity gaze points to typically developing (TD) during TD HCTFs. Comparing toddlers with ASD (n = 112) developmentally delayed (DD, n 36) and 163) video Dyadic Bid, Sandwich-Making,...
Most studies of executive function (EF) in Autism Spectrum Disorder (ASD) focus on cognitive information processing, emphasizing less the social interaction deficits core to ASD. We designed a mobile game that uses and nonsocial stimuli assess children's EF skills. The comprised three components involving different skills: flexibility (shifting/inference), inhibitory control, short-term memory. By recruiting 65 children with without ASD play game, we investigated potential such platforms for...
Young children with autism spectrum disorder (ASD) look less toward faces compared to their non‐ASD peers, limiting access social learning. Currently, no technologies directly target these core attention difficulties. This study examines the feasibility of automated gaze modification training for improving in 3‐year‐olds ASD. Using free‐viewing data from typically developing (TD) controls ( n = 41), we implemented gaze‐contingent adaptive cueing redirect ASD normative looking patterns during...
Node placement strategy is an intrinsic issue when provisioning of a wireless sensor network (WSN). In this paper, we address the problem for class heterogeneous WSNs, wherein nodes have different energy supplies and functionalities. We formulate generalized node optimization aiming at minimizing cost with constraints on lifetime connectivity. propose scheme two phases. model first phase relaying (FPRNs) as minimum set cover dynamic programming algorithm developed to solve it. For second...
Abstract The Selective Social Attention (SSA) task is a brief eye‐tracking involving experimental conditions varying along socio‐communicative axes. Traditionally the SSA has been used to probe socially‐specific attentional patterns in infants and toddlers who develop autism spectrum disorder (ASD). This current work extends these findings preschool school‐age children. Children 4‐ 12‐years‐old with ASD ( N = 23) typically‐developing comparison group (TD; 25) completed as well standardized...
Many different eye-tracking calibration techniques have been developed [e.g. see Talmi and Liu 1999; Zhu Ji 2007]. A community standard is a 9-point-sparse that relies on sequential presentation of known scene targets. However, fixating points has described as tedious, dull tiring for the eye [Bulling, Gellersen, Pfeuffer, Turner Vidal 2013].
This paper modifies the DBSCAN algorithm to identify fixations and saccades. method combines advantages from dispersion-based algorithms, such as resilience noise intuitive fixational structure, velocity-based ability deal appropriately with smooth pursuit (SP) movements.
Emotions have specific effects on behavior. At present, studies are increasingly interested in how emotions affect driving We designed the experiment by combing tasks and eye tracking. DSM-V assessment scale was applied to evaluate depression manic for participants. In order explore dual impacts of emotional issues cognitive load attention mechanism, we defined safety-related region as area interest (AOI) quantified concentration tracking data. Participants with had lower AOI sample...
Abstract Background and Hypothesis Obesity is a common comorbidity in individuals with schizophrenia associated poor clinical outcomes. At present, there are limited effective approaches for addressing this issue. We conducted double-blind, randomized, sham-controlled trial to investigate the efficacy of noninvasive magnetic stimulation techniques reducing obesity schizophrenia. Study Design Forty overweight were recruited randomly assigned receive either active or sham intervention. The...