[HTML][HTML] Stress detection in daily life scenarios using smart phones and wearable sensors: A survey

YS Can, B Arnrich, C Ersoy - Journal of biomedical informatics, 2019 - Elsevier
Stress has become a significant cause for many diseases in the modern society. Recently,
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …

The experience sampling method on mobile devices

N Van Berkel, D Ferreira, V Kostakos - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
The Experience Sampling Method (ESM) is used by scientists from various disciplines to
gather insights into the intra-psychic elements of human life. Researchers have used the …

Continuous stress detection using wearable sensors in real life: Algorithmic programming contest case study

YS Can, N Chalabianloo, D Ekiz, C Ersoy - Sensors, 2019 - mdpi.com
The negative effects of mental stress on human health has been known for decades. High-
level stress must be detected at early stages to prevent these negative effects. After the …

Stress research during the COVID-19 pandemic and beyond

LS Pfeifer, K Heyers, S Ocklenburg, OT Wolf - … & Biobehavioral Reviews, 2021 - Elsevier
The COVID-19 pandemic confronts stress researchers in psychology and neuroscience with
unique challenges. Widely used experimental paradigms such as the Trier Social Stress …

A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms

RP Thati, AS Dhadwal, P Kumar, SP - Multimedia Tools and Applications, 2023 - Springer
Depression has become a global concern, and COVID-19 also has caused a big surge in its
incidence. Broadly, there are two primary methods of detecting depression: Task-based and …

A review of emotion recognition methods based on data acquired via smartphone sensors

A Kołakowska, W Szwoch, M Szwoch - Sensors, 2020 - mdpi.com
In recent years, emotion recognition algorithms have achieved high efficiency, allowing the
development of various affective and affect-aware applications. This advancement has taken …

Personal stress-level clustering and decision-level smoothing to enhance the performance of ambulatory stress detection with smartwatches

YS Can, N Chalabianloo, D Ekiz… - IEEE …, 2020 - ieeexplore.ieee.org
Researchers strive hard to develop effective ways to detect and cope with enduring high-
level daily stress as early as possible to prevent serious health consequences. Although …

How to relax in stressful situations: a smart stress reduction system

YS Can, H Iles-Smith, N Chalabianloo, D Ekiz… - Healthcare, 2020 - mdpi.com
Stress is an inescapable element of the modern age. Instances of untreated stress may lead
to a reduction in the individual's health, well-being and socio-economic situation. Stress …

Semantic gap in predicting mental wellbeing through passive sensing

V Das Swain, V Chen, S Mishra, SM Mattingly… - Proceedings of the …, 2022 - dl.acm.org
When modeling passive data to infer individual mental wellbeing, a common source of
ground truth is self-reports. But these tend to represent the psychological facet of mental …

[HTML][HTML] Assessment of perceived indoor environmental quality, stress and productivity based on environmental sensor data and personality categorization

J Kallio, E Vildjiounaite, J Koivusaari, P Räsänen… - Building and …, 2020 - Elsevier
Indoor environmental quality (IEQ) has an influence on peoples' health, cognitive
performance and productivity in school and office environments. This study used …