PupilRec: Leveraging pupil morphology for recommending on smartphones

X Shen, H Jiang, D Liu, K Yang, F Deng… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
As mobile shop** has gradually become the mainstream shop** mode,
recommendation systems are gaining an increasingly wide adoption. Existing …

FacePsy: An Open-Source Affective Mobile Sensing System-Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings

R Islam, SW Bae - Proceedings of the ACM on Human-Computer …, 2024 - dl.acm.org
Depression, a prevalent and complex mental health issue affecting millions worldwide,
presents significant challenges for detection and monitoring. While facial expressions have …

Using driver monitoring to estimate readiness in automation: a conceptual model based on simulator experimental data

RC Gonçalves, CM Goodridge, J Kuo… - Cognition, Technology & …, 2024 - Springer
This paper provides a theoretical overview of how the concept of driver readiness can be
objectively measured, using controlled experimental data. First, a literature review regarding …

On the quality of real-world wearable data in a longitudinal study of information workers

GJ Martinez, SM Mattingly, S Mirjafari… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Over the past few years, an incredible diversity of consumer-grade wearables has emerged
with tremendous breadth in capabilities, form factor, and cost. These wearable devices show …

The influence of experienced severe road traffic accidents on take-over reactions and non-driving-related tasks in an automated driving simulator study

K Weigl, C Schartmüller, P Wintersberger… - Accident analysis & …, 2021 - Elsevier
Road traffic accidents (RTAs) are an ever-existing threat to all road users. Automated
vehicles (AVs; SAE Level 3–5) are developed in many countries. They are promoted with …

PupilSense: Detection of Depressive Episodes Through Pupillary Response in the Wild

R Islam, SW Bae - arxiv preprint arxiv:2404.14590, 2024 - arxiv.org
Early detection of depressive episodes is crucial in managing mental health disorders such
as Major Depressive Disorder (MDD) and Bipolar Disorder. However, existing methods often …

PupilHeart: Heart Rate Variability Monitoring via Pupillary Fluctuations on Mobile Devices

X Shen, H Jiang, D Liu, K Yang, F Deng… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Heart disease has now become a very common and impactful disease, which can actually
be easily avoided if treatment is intervened at an early stage. Thus, daily monitoring of heart …

Inferring Circadian Rhythms of Cognitive Performance in Everyday Life

B Tag, T Dingler, AW Vargo… - IEEE Pervasive …, 2020 - ieeexplore.ieee.org
Physical, mental, and behavioral processes of most living beings underlie cyclic changes,
mainly governed by the day-night cycle. Investigations of these circadian rhythms have …