activity
20142026
most citedLeveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving

27 citations · 64 across the 17 of their papers we have counts for

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6 papers · 1 filter

cs.HC2025

CosinorAge: Unified Python and Web Platform for Biological Age Estimation from Wearable- and Smartwatch-Based Activity Rhythms

Jinjoo Shim, Jacob Hunecke, Elgar Fleisch +1

Every day, millions of people worldwide track their steps, sleep, and activity rhythms with smartwatches and fitness trackers. These continuously collected data streams present a r…

cs.HC2023★ 27 cited

Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving

Kevin Koch, Martin Maritsch, Eva van Weenen +5

Excessive alcohol consumption causes disability and death. Digital interventions are promising means to promote behavioral change and thus prevent alcohol-related harm, especially…

cs.HC2022

"Are you okay, honey?": Recognizing Emotions among Couples Managing Diabetes in Daily Life using Multimodal Real-World Smartwatch Data

George Boateng, Xiangyu Zhao, Malgorzata Speichert +6

Couples generally manage chronic diseases together and the management takes an emotional toll on both patients and their romantic partners. Consequently, recognizing the emotions o…

cs.HC2022★ 2 cited

Development, Deployment, and Evaluation of DyMand -- An Open-Source Smartwatch and Smartphone System for Capturing Couples' Dyadic Interactions in Chronic Disease Management in Daily Life

George Boateng, Prabhakaran Santhanam, Elgar Fleisch +4

Dyadic interactions of couples are of interest as they provide insight into relationship quality and chronic disease management. Currently, ambulatory assessment of couples' intera…

cs.HC2022★ 2 cited

Emotion Recognition among Couples: A Survey

George Boateng, Elgar Fleisch, Tobias Kowatsch

Couples' relationships affect the physical health and emotional well-being of partners. Automatically recognizing each partner's emotions could give a better understanding of their…

cs.HC2020★ 2 cited

Detecting Receptivity for mHealth Interventions in the Natural Environment

Varun Mishra, Florian Künzler, Jan-Niklas Kramer +3

JITAI is an emerging technique with great potential to support health behavior by providing the right type and amount of support at the right time. A crucial aspect of JITAIs is pr…