Ecological momentary interventions for mental health: A scoping review

A Balaskas, SM Schueller, AL Cox, G Doherty - PloS one, 2021 - journals.plos.org
Background The development of mobile computing technology has enabled the delivery of
psychological interventions while people go about their everyday lives. The original visions …

[HTML][HTML] Applications and techniques for fast machine learning in science

AMC Deiana, N Tran, J Agar, M Blott… - Frontiers in big …, 2022 - frontiersin.org
In this community review report, we discuss applications and techniques for fast machine
learning (ML) in science—the concept of integrating powerful ML methods into the real-time …

Evaluating the reproducibility of physiological stress detection models

V Mishra, S Sen, G Chen, T Hao, J Rogers… - Proceedings of the …, 2020 - dl.acm.org
Recent advances in wearable sensor technologies have led to a variety of approaches for
detecting physiological stress. Even with over a decade of research in the domain, there still …

Exploring the state-of-receptivity for mHealth interventions

F Künzler, V Mishra, JN Kramer, D Kotz… - Proceedings of the …, 2019 - dl.acm.org
Recent advancements in sensing techniques for mHealth applications have led to
successful development and deployments of several mHealth intervention designs …

Early life stress detection using physiological signals and machine learning pipelines

Z Shahbazi, YC Byun - Biology, 2023 - mdpi.com
Simple Summary Problem statement: Stress is one of the challenges of human life that in
case of not curing may cause serious problems in human body. There are various type of …

Hide-and-seek: Detecting Workers' Emotional Workload in Emotional Labor Contexts Using Multimodal Sensing

E Park, D Lee, Y Han, J Diefendorff, U Lee - Proceedings of the ACM on …, 2024 - dl.acm.org
Emotional labor refers to the process in which workers are required to express emotions
regardless of their actual feelings by the organization. In workplaces where such display …

A Reproducible Stress Prediction Pipeline with Mobile Sensor Data

P Zhang, G Jung, J Alikhanov, U Ahmed… - Proceedings of the ACM …, 2024 - dl.acm.org
Recent efforts to predict stress in the wild using mobile technology have increased; however,
the field lacks a common pipeline for assessing the impact of factors such as label encoding …

Driving stress detection using multimodal convolutional neural networks with nonlinear representation of short-term physiological signals

J Lee, H Lee, M Shin - Sensors, 2021 - mdpi.com
Mental stress can lead to traffic accidents by reducing a driver's concentration or increasing
fatigue while driving. In recent years, demand for methods to detect drivers' stress in …

[HTML][HTML] A New Era in Stress Monitoring: A Review of Embedded Devices and Tools for Detecting Stress in the Workplace

J Kafková, P Kuchár, R Pirník, M Skuba, T Tichý, J Brož - Electronics, 2024 - mdpi.com
Detection of stress and the development of innovative platforms for stress monitoring have
attracted significant attention in recent years due to the growing awareness of the harmful …

Examining and promoting explainable recommendations for personal sensing technology acceptance

J Newn, RM Kelly, S D'Alfonso… - Proceedings of the ACM on …, 2022 - dl.acm.org
Personal sensing is a promising approach for enabling the delivery of timely and
personalised recommendations to improve mental health and well-being. However, existing …