[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 …

[HTML][HTML] Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety

K Huckvale, S Venkatesh, H Christensen - NPJ digital medicine, 2019 - nature.com
The use of data generated passively by personal electronic devices, such as smartphones,
to measure human function in health and disease has generated significant research …

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 …

[HTML][HTML] Monitoring stress with a wrist device using context

M Gjoreski, M Luštrek, M Gams, H Gjoreski - Journal of biomedical …, 2017 - Elsevier
Being able to detect stress as it occurs can greatly contribute to dealing with its negative
health and economic consequences. However, detecting stress in real life with an …

A comprehensive review and analysis of supervised-learning and soft computing techniques for stress diagnosis in humans

S Sharma, G Singh, M Sharma - Computers in Biology and Medicine, 2021 - Elsevier
Stress is the most prevailing and global psychological condition that inevitably disrupts the
mood and behavior of individuals. Chronic stress may gravely affect the physical, mental …

Sensor-based datasets for human activity recognition–a systematic review of literature

E De-La-Hoz-Franco, P Ariza-Colpas, JM Quero… - IEEE …, 2018 - ieeexplore.ieee.org
The research area of ambient assisted living has led to the development of activity
recognition systems (ARS) based on human activity recognition (HAR). These systems …

Detecting moments of stress from measurements of wearable physiological sensors

K Kyriakou, B Resch, G Sagl, A Petutschnig, C Werner… - Sensors, 2019 - mdpi.com
There is a rich repertoire of methods for stress detection using various physiological signals
and algorithms. However, there is still a gap in research efforts moving from laboratory …

Towards next generation teaching, learning, and context-aware applications for higher education: A review on blockchain, IoT, fog and edge computing enabled smart …

TM Fernández-Caramés, P Fraga-Lamas - Applied Sciences, 2019 - mdpi.com
Smart campuses and smart universities make use of IT infrastructure that is similar to the one
required by smart cities, which take advantage of Internet of Things (IoT) and cloud …

Learner modelling: systematic review of the literature from the last 5 years

A Abyaa, M Khalidi Idrissi, S Bennani - Educational Technology Research …, 2019 - Springer
The field of adaptive e-learning is continuously developing. More research is being
conducted in this area as adaptive e-learning aims to provide learners with adaptive …

HealthyOffice: Mood recognition at work using smartphones and wearable sensors

A Zenonos, A Khan, G Kalogridis… - 2016 IEEE …, 2016 - ieeexplore.ieee.org
Stress, anxiety and depression in the workplace are detrimental to human health and
productivity with significant financial implications. Recent research in this area has focused …