Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

S Qiu, H Zhao, N Jiang, Z Wang, L Liu, Y An, H Zhao… - Information …, 2022 - Elsevier
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

[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 …

Artificial intelligence in medical sensors for clinical decisions

H Haick, N Tang - ACS nano, 2021 - ACS Publications
Due to the limited ability of conventional methods and the limited perspective of human
diagnostics, patients are often diagnosed incorrectly or at a late stage as their disease …

A survey of machine learning techniques in physiology based mental stress detection systems

SS Panicker, P Gayathri - Biocybernetics and Biomedical Engineering, 2019 - Elsevier
Various automated/semi-automated medical diagnosis systems based on human physiology
have been gaining enormous popularity and importance in recent years. Physiological …

Smart wearable hand device for sign language interpretation system with sensors fusion

BG Lee, SM Lee - IEEE Sensors Journal, 2017 - ieeexplore.ieee.org
Gesturing is an instinctive way of communicating to present a specific meaning or intent.
Therefore, research into sign language interpretation using gestures has been explored …

Video-based stress detection through deep learning

H Zhang, L Feng, N Li, Z Jin, L Cao - Sensors, 2020 - mdpi.com
Stress has become an increasingly serious problem in the current society, threatening
mankind's well-beings. With the ubiquitous deployment of video cameras in surroundings …

Stress detection through electrodermal activity (EDA) and electrocardiogram (ECG) analysis in car drivers

P Zontone, A Affanni, R Bernardini… - 2019 27th European …, 2019 - ieeexplore.ieee.org
The stress in a driver, happening during unforeseen events or taxing situations, is linked to a
subject's sympathetic system response. We present a system which detects the stress …

Machine learning based solutions for real-time stress monitoring

RK Nath, H Thapliyal, A Caban-Holt… - IEEE Consumer …, 2020 - ieeexplore.ieee.org
Stress may be defined as the reaction of the body to regulate itself to changes within the
environment through mental, physical, or emotional responses. Recurrent episodes of acute …

Sensors capabilities, performance, and use of consumer sleep technology

M de Zambotti, N Cellini, L Menghini… - Sleep medicine …, 2020 - sleep.theclinics.com
Sleep is a fundamental human need supporting the proper functioning of mind and body. 1–
7 Being able to measure and accurately quantify sleep is critical to characterize the sleep …

Advanced artificial intelligence in heart rate and blood pressure monitoring for stress management

Q Lin, T Li, PM Shakeel, RDJ Samuel - Journal of Ambient Intelligence …, 2021 - Springer
The stress factor has been considered as a primary cause that affects a variety of human
health conditions nowadays. Medical studies indicate that long-term stress can result in …