1 citations · 2 across the 7 of their papers we have counts for
7 papers
TAMI: Temporally Aligned, Missingness-Aware, and Interpretable Multimodal Fusion for Mental Health Assessment in Older Adults with Mild Cognitive Impairment
Merna Bibars, Bolaji Omofojoye, Allan I. Levey +3
Depression and anxiety in older adults with Mild Cognitive Impairment (MCI) are frequently underdiagnosed due to limited access to care. Multimodal analysis of remote clinical inte…
AIGaitor: Privacy-preserving and cloud-free motion analysis for everyone, using edge computing
Lauhitya Reddy, Trisha M. Kesar, Hyeokhyen Kwon
Motion capture is the gold standard for measuring human movement, but clinical use remains limited by cost, technical complexity, and privacy concerns. AIGaitor is a privacy-preser…
An explainable hierarchical self attention-based approach for tremor detection in the time domain
Timothy Odonga, Jeanne M. Powell, Mark Saad +5
Tremor is a common movement disorder associated with conditions like Parkinson's disease and Essential tremor, traditionally diagnosed through expert clinician assessment. Current…
Prediction of Challenging Behaviors Associated with Profound Autism in a Classroom Setting Using Wearable Sensors
Yadhu Kartha, Conor Anderson, Jenny Foster +6
Autism Spectrum Disorder (ASD) is characterized by challenges with social interaction and communication and by restricted or repetitive patterns of thought and behavior, with signi…
Feasibility of Detecting Cognitive Impairment and Psychological Well-being among Older Adults Using Facial, Acoustic, Linguistic, and Cardiovascular Patterns Derived from Remote Conversations
Xiaofan Mu, Merna Bibars, Salman Seyedi +9
The aging society urgently requires scalable methods to monitor cognitive decline and identify social and psychological factors indicative of dementia risk in older adults. Our mac…
Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing
Chaitra Hegde, Yashar Kiarashi, Allan I Levey +3
INTRODUCTION: Mild cognitive impairment (MCI) is characterized by a decline in cognitive functions beyond typical age and education-related expectations. Since, MCI has been linked…
Explainable Artificial Intelligence for Quantifying Interfering and High-Risk Behaviors in Autism Spectrum Disorder in a Real-World Classroom Environment Using Privacy-Preserving Video Analysis
Barun Das, Conor Anderson, Tania Villavicencio +6
Rapid identification and accurate documentation of interfering and high-risk behaviors in ASD, such as aggression, self-injury, disruption, and restricted repetitive behaviors, are…