5 papers
Fine-tuning a multimodal large language model for clinician-grade autism behavioral scoring from short home videos
Mohammadmahdi Honarmand, Parnian Azizian, Aaron Kline +9
Autism spectrum disorder (ASD) affects 1 in 31 US children, yet median age at diagnosis exceeds four years. Artificial intelligence pipelines that provide quantified diagnosis usin…
Exploring Expert Perspectives on Wearable-Triggered LLM Conversational Support for Daily Stress Management
Poorvesh Dongre, Sameer Neupane, Priyanka Jadhav +3
Wearable devices increasingly support stress detection, while LLMs enable conversational mental health support. However, designing systems that meaningfully connect wearable-trigge…
How Many Times Do People Usually Experience Different Kinds of Stressors Each Day?
Sameer Neupane, Mithun Saha, David M. Almeida +1
Understanding how frequently people experience different kinds of daily stressors is crucial for interpreting stress exposure and informing mental health care. But it can't be dire…
Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings
Mithun Saha, Maxwell A. Xu, Wanting Mao +3
Photoplethysmography (PPG)-based foundation models are gaining traction due to the widespread use of PPG in biosignal monitoring and their potential to generalize across diverse he…
Wearable Meets LLM for Stress Management: A Duoethnographic Study Integrating Wearable-Triggered Stressors and LLM Chatbots for Personalized Interventions
Sameer Neupane, Poorvesh Dongre, Denis Gracanin +1
We use a duoethnographic approach to study how wearable-integrated LLM chatbots can assist with personalized stress management, addressing the growing need for immediacy and tailor…