A5103055797- Autism Spectrum Disorder Research
- Genetics and Neurodevelopmental Disorders
- Child Development and Digital Technology
- Emotion and Mood Recognition
- Visual Attention and Saliency Detection
- Gaze Tracking and Assistive Technology
- Infrared Thermography in Medicine
- Face Recognition and Perception
- Erythropoietin and Anemia Treatment
- Retinal and Optic Conditions
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Dialysis and Renal Disease Management
- Ophthalmology and Visual Impairment Studies
- Thermoregulation and physiological responses
- Retinopathy of Prematurity Studies
- Acute Kidney Injury Research
Binghamton University
2019-2022
Yale University
2016
Amgen (Switzerland)
2009
Robots are often employed to proactively engage children with Autism Spectrum Disorder (ASD) in well-defined physical or social activities promote specific educational therapeutic outcomes. However, much can also be learned by leveraging a robot's unique ability objectively deliver stimuli consistent, repeatable way and record child-robot interactions that may indicative of developmental autism severity this population. In study, we elicited affective responses an emotion-simulating robot...
In this paper, we introduce an end-to-end machine learning-based system for classifying autism spectrum disorder (ASD) using facial attributes such as expressions, action units, arousal, and valence. Our classifies ASD representations of different from convolutional neural networks, which are trained on images in the wild. experimental results show that used our statistically significant improve sensitivity, specificity, F1 score classification by a large margin. particular, addition...
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...
Background: Looking pattern differences are shown to separate individuals with Autism Spectrum Disorder (ASD) and Typically Developing (TD) controls. Recent studies have that, in children ASD, these patterns change intellectual social impairments, suggesting that of attention provide indices clinically meaningful variation ASD. Method: We conducted a naturalistic study ASD (n = 55) typical development (TD, n 32). A battery eye-tracking video stimuli was used the study, including Activity...
Robots are often employed to proactively engage children with Autism Spectrum Disorder (ASD) in well-defined physical or social activities promote specific educational therapeutic outcomes. However, much can also be learned by leveraging a robot's unique ability objectively deliver stimuli consistent, repeatable way and record child-robot interactions that may indicative of developmental autism severity this population. In study, we elicited affective responses an emotion-simulating robot...
Objective: To calculate the variable costs involved with process of delivering erythropoiesis stimulating agents (ESA) in European dialysis practices.Methods: A conceptual model was developed to classify processes and sub-processes followed pharmacy (ordering from supplier, receiving/storing/delivering ESA unit), unit (dose determination, ordering, receipt, registration, storage, administration, registration) waste disposal unit. Time material were recorded. Labour derived actual local wages...
Far infrared thermography, which can be used to detect thermal radiation emitted by humans, has been physical disease, physiological changes relating emotion, and polygraph testing, but not for eye tracking. However, because the surface temperature of cornea is colder than limbus, it theoretically possible track corneal movements through imaging. To explore feasibility tracking, we invited 10 adults tracked their with passive imaging at 60 Hz. We combined shape models eyes intensity...
Gaze calibration is common in traditional infrared oculographic eye tracking. However, it not well studied visible-light mobile/remote We developed a lightweight real-time gaze error estimator and analyzed errors from two perspectives: facial feature-based Monte Carlo-based. Both methods correlated with estimation errors, but the Carlo method associated more strongly. Facial feature associations were interpretable, relating movements of face to visibility eye. highlight degradation quality...
Identifying oculomotor behaviors relevant for eye-tracking applications is a critical but often challenging task. Aiming to automatically learn and extract knowledge from existing data, we develop novel method that creates rich representations of scanpaths facilitate the learning downstream tasks. The proposed stimulus-agnostic Oculomotor Behavior Framework (OBF) model learns human unsupervised semi-supervised tasks, including reconstruction, predictive coding, fixation identification,...
In this paper, we introduce an end-to-end machine learning-based system for classifying autism spectrum disorder (ASD) using facial attributes such as expressions, action units, arousal, and valence. Our classifies ASD representations of different from convolutional neural networks, which are trained on images in the wild. experimental results show that used our statistically significant improve sensitivity, specificity, F1 score classification by a large margin. particular, addition...
Conventional eye-tracking calibration use sparse points that require saccades to all locations or pursuit trajectories completeness. In this work, we constructed a hybrid system combining smooth trajectory and applied it with typically developing (TD) toddlers, toddlers Autism Spectrum Disorder (ASD) typical adults. Employing an Eyelink eye tracker in remote mode 500 Hz, recorded raw pupil corneal reflection positions. Single attempt calibrations involved central fixation point, followed by...