Hybrid techniques of facial feature image analysis for early detection of autism spectrum disorder based on combined CNN features
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized
by difficulties in social communication and repetitive behaviors. The exact causes of ASD …
by difficulties in social communication and repetitive behaviors. The exact causes of ASD …
[HTML][HTML] A comparison of personalized and generalized approaches to emotion recognition using consumer wearable devices: machine learning study
J Li, P Washington - JMIR AI, 2024 - ai.jmir.org
Background: There are a wide range of potential adverse health effects, ranging from
headaches to cardiovascular disease, associated with long-term negative emotions and …
headaches to cardiovascular disease, associated with long-term negative emotions and …
SIM-CNN: Self-Supervised Individualized Multimodal Learning for Stress Prediction on Nurses Using Biosignals
S Eom, S Eom, P Washington - Workshop on Machine Learning for …, 2023 - Springer
Precise stress recognition from biosignals is inherently challenging due to the
heterogeneous nature of stress, individual physiological differences, and scarcity of labeled …
heterogeneous nature of stress, individual physiological differences, and scarcity of labeled …
Self-Supervised Learning for Audio-Based Emotion Recognition
P Nimitsurachat, P Washington - arXiv preprint arXiv:2307.12343, 2023 - arxiv.org
Emotion recognition models using audio input data can enable the development of
interactive systems with applications in mental healthcare, marketing, gaming, and social …
interactive systems with applications in mental healthcare, marketing, gaming, and social …
[HTML][HTML] Coding of childhood psychiatric and neurodevelopmental disorders in electronic health records of a large integrated health care system: validation study
JM Shi, VY Chiu, CC Avila, S Lewis, D Park… - JMIR Mental …, 2024 - mental.jmir.org
Background Mental, emotional, and behavioral disorders are chronic pediatric conditions,
and their prevalence has been on the rise over recent decades. Affected children have long …
and their prevalence has been on the rise over recent decades. Affected children have long …
Personalization of Affective Models to Enable Neuropsychiatric Digital Precision Health Interventions: A Feasibility Study
A Kargarandehkordi, M Kaisti, P Washington - arXiv preprint arXiv …, 2023 - arxiv.org
Mobile digital therapeutics for autism spectrum disorder (ASD) often target emotion
recognition and evocation, which is a challenge for children with ASD. While such mobile …
recognition and evocation, which is a challenge for children with ASD. While such mobile …
Personalization of Stress Mobile Sensing using Self-Supervised Learning
T Islam, P Washington - arXiv preprint arXiv:2308.02731, 2023 - arxiv.org
Stress is widely recognized as a major contributor to a variety of health issues. Stress
prediction using biosignal data recorded by wearables is a key area of study in mobile …
prediction using biosignal data recorded by wearables is a key area of study in mobile …
Computer Vision Estimation of Emotion Reaction Intensity in the Wild
Y Qian, A Kargarandehkordi, OC Mutlu… - arXiv preprint arXiv …, 2023 - arxiv.org
Emotions play an essential role in human communication. Developing computer vision
models for automatic recognition of emotion expression can aid in a variety of domains …
models for automatic recognition of emotion expression can aid in a variety of domains …
[HTML][HTML] Parkinson Disease Recognition Using a Gamified Website: Machine Learning Development and Usability Study
S Parab, J Boster, P Washington - JMIR Formative Research, 2023 - formative.jmir.org
Background: Parkinson disease (PD) affects millions globally, causing motor function
impairments. Early detection is vital, and diverse data sources aid diagnosis. We focus on …
impairments. Early detection is vital, and diverse data sources aid diagnosis. We focus on …
Computer Vision Estimation of Stress and Anxiety Using a Gamified Mobile-based Ecological Momentary Assessment and Deep Learning: Research Protocol
A Kargarandehkordi, P Washington - medRxiv, 2023 - medrxiv.org
Stress and anxiety can contribute to the development of major health problems such as
heart disease, depression, and obesity. Due to its subjective nature, it is challenging to …
heart disease, depression, and obesity. Due to its subjective nature, it is challenging to …