[HTML][HTML] Stress detection in daily life scenarios using smart phones and wearable sensors: A survey
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 …
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …
The experience sampling method on mobile devices
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 …
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
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 …
level stress must be detected at early stages to prevent these negative effects. After the …
Stress research during the COVID-19 pandemic and beyond
The COVID-19 pandemic confronts stress researchers in psychology and neuroscience with
unique challenges. Widely used experimental paradigms such as the Trier Social Stress …
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
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 …
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 …
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
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 …
level daily stress as early as possible to prevent serious health consequences. Although …
How to relax in stressful situations: a smart stress reduction system
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 …
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 …
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 …
performance and productivity in school and office environments. This study used …