25 citations · 45 across the 6 of their papers we have counts for
6 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…
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…
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…
Momentary Stressor Logging and Reflective Visualizations: Implications for Stress Management with Wearables
Sameer Neupane, Mithun Saha, Nasir Ali +5
Commercial wearables from Fitbit, Garmin, and Whoop have recently introduced real-time notifications based on detecting changes in physiological responses indicating potential stre…