Review on psychological stress detection using biosignals

G Giannakakis, D Grigoriadis… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This review investigates the effects of psychological stress on the human body measured
through biosignals. When a potentially threatening stimulus is perceived, a cascade of …

[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 …

Outlook on human-centric manufacturing towards Industry 5.0

Y Lu, H Zheng, S Chand, W Xia, Z Liu, X Xu… - Journal of Manufacturing …, 2022 - Elsevier
The recent shift to wellbeing, sustainability, and resilience under Industry 5.0 has prompted
formal discussions that manufacturing should be human-centric–placing the wellbeing of …

Introducing wesad, a multimodal dataset for wearable stress and affect detection

P Schmidt, A Reiss, R Duerichen, C Marberger… - Proceedings of the 20th …, 2018 - dl.acm.org
Affect recognition aims to detect a person's affective state based on observables, with the
goal to eg improve human-computer interaction. Long-term stress is known to have severe …

Smartphone sensors for health monitoring and diagnosis

S Majumder, MJ Deen - Sensors, 2019 - mdpi.com
Over the past few decades, we have witnessed a dramatic rise in life expectancy owing to
significant advances in medical science and technology, medicine as well as increased …

Using smartphones to collect behavioral data in psychological science: Opportunities, practical considerations, and challenges

GM Harari, ND Lane, R Wang… - Perspectives on …, 2016 - journals.sagepub.com
Smartphones now offer the promise of collecting behavioral data unobtrusively, in situ, as it
unfolds in the course of daily life. Data can be collected from the onboard sensors and other …

Personal sensing: understanding mental health using ubiquitous sensors and machine learning

DC Mohr, M Zhang, SM Schueller - Annual review of clinical …, 2017 - annualreviews.org
Sensors in everyday devices, such as our phones, wearables, and computers, leave a
stream of digital traces. Personal sensing refers to collecting and analyzing data from …

[HTML][HTML] Mental health monitoring with multimodal sensing and machine learning: A survey

E Garcia-Ceja, M Riegler, T Nordgreen… - Pervasive and Mobile …, 2018 - Elsevier
Personal and ubiquitous sensing technologies such as smartphones have allowed the
continuous collection of data in an unobtrusive manner. Machine learning methods have …

Deepx: A software accelerator for low-power deep learning inference on mobile devices

ND Lane, S Bhattacharya, P Georgiev… - 2016 15th ACM/IEEE …, 2016 - ieeexplore.ieee.org
Breakthroughs from the field of deep learning are radically changing how sensor data are
interpreted to extract the high-level information needed by mobile apps. It is critical that the …

[HTML][HTML] Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review

A Alberdi, A Aztiria, A Basarab - Journal of biomedical informatics, 2016 - Elsevier
Stress is a major problem of our society, as it is the cause of many health problems and
huge economic losses in companies. Continuous high mental workloads and non-stop …