A review on mental stress detection using wearable sensors and machine learning techniques

S Gedam, S Paul - IEEE Access, 2021 - ieeexplore.ieee.org
Stress is an escalated psycho-physiological state of the human body emerging in response
to a challenging event or a demanding condition. Environmental factors that trigger stress …

Emotion recognition from physiological signal analysis: A review

M Egger, M Ley, S Hanke - Electronic Notes in Theoretical Computer …, 2019 - Elsevier
Human computer interaction is increasingly utilized in smart home, industry 4.0 and
personal health. Communication between human and computer can benefit by a flawless …

Evolutionary inspired approach for mental stress detection using EEG signal

LD Sharma, VK Bohat, M Habib, AZ Ala'M… - Expert systems with …, 2022 - Elsevier
Stress is a pensive issue in our competitive world and it has a huge impact on physical and
mental health. Severe health issues may arise due to long exposure of stress. Hence, its …

Sensor mania! the internet of things, wearable computing, objective metrics, and the quantified self 2.0

M Swan - Journal of Sensor and Actuator networks, 2012 - mdpi.com
The number of devices on the Internet exceeded the number of people on the Internet in
2008, and is estimated to reach 50 billion in 2020. A wide-ranging Internet of Things (IOT) …

A comprehensive survey of driving monitoring and assistance systems

MQ Khan, S Lee - Sensors, 2019 - mdpi.com
Improving a vehicle driver's performance decreases the damage caused by, and chances of,
road accidents. In recent decades, engineers and researchers have proposed several …

Mental stress detection in university students using machine learning algorithms

R Ahuja, A Banga - Procedia Computer Science, 2019 - Elsevier
Mental stress is a major issue nowadays, especially among youngsters. The age that was
considered once most carefree is now under a large amount of stress. Stress increase …

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 …

Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers

L Chen, Y Zhao, P Ye, J Zhang, J Zou - Expert Systems with Applications, 2017 - Elsevier
Monitoring driving status has great potential in helping us decline the occurrence probability
of traffic accidents and the aim of this research is to develop a novel system for driving stress …

A review on human-computer interaction and intelligent robots

F Ren, Y Bao - International Journal of Information Technology & …, 2020 - World Scientific
In the field of artificial intelligence, human–computer interaction (HCI) technology and its
related intelligent robot technologies are essential and interesting contents of research …

Wearable device-based system to monitor a driver's stress, fatigue, and drowsiness

M Choi, G Koo, M Seo, SW Kim - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper proposes a wearable device-based system to monitor the abnormal conditions of
a driver, including stress, fatigue, and drowsiness. The system measures the motional and …