HCI.TOPHCI, made easy

arrow_backBack to questions View categoryarrow_forward

Health, Healthcare, and Wellbeing / Wearable, Sensing, and Physiological Monitoring

How can pressure images be used to accurately estimate 3D joint positions in sleep postures?

helpResearch questionWearable, Sensing, and Physiological Monitoring

How can pressure images be used to accurately estimate 3D joint positions in sleep postures?

UbiComp '21Toward Fine-Grained Sleeping Activity Recognition: 3D Extension and an Estimation Try on Joint Position of SLP Dataset

Similar questions

helpResearch questionWearable, Sensing, and Physiological Monitoring

How do atrial fibrillation (AF) patients use consumer technologies such as wearables for daily self-care?

CHI '25Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care

helpResearch questionWearable, Sensing, and Physiological Monitoring

How can consumer technology support clinical decision-making and communication through patient-generated data for AF patients?

CHI '25Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care

helpResearch questionWearable, Sensing, and Physiological Monitoring

What role does technology play in alleviating or exacerbating AF patients' bodily perception uncertainty?

CHI '25Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care

helpResearch questionWearable, Sensing, and Physiological Monitoring

Can LLMs effectively analyze behavioral data from mobile and wearable devices to generate meaningful clinical insights?

UbiComp '24From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

helpResearch questionWearable, Sensing, and Physiological Monitoring

Can chain-of-thought (CoT) methods improve LLM reasoning ability in multi-sensor behavioral data analysis?

UbiComp '24From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

helpResearch questionWearable, Sensing, and Physiological Monitoring

Can LLM-generated reasoning content help mental health professionals improve diagnosis and treatment in clinical settings?

UbiComp '24From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

Related papers

Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care

Rachel Keys, Paul Marshall, Graham Stuart

From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

Zachary Englhardt, Chengqian Ma, Margaret E Morris

FitNibble: A Field Study to Evaluate the Utility and Usability of Automatic Diet Monitoring in Food Journaling using an Eyeglasses-based Wearable

Abdelkareem Bedri, Yuchen Liang, Sudershan Boovaraghavan

An Activity Recognition System for Taking Medicine Using In-The-Wild Data to Promote Medication Adherence

Josh Cherian, Samantha Ray, Tracy Hammond