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A review on mental stress detection using wearable sensors and machine learning techniques
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 …
to a challenging event or a demanding condition. Environmental factors that trigger stress …
Review of eye tracking metrics involved in emotional and cognitive processes
Eye behaviour provides valuable information revealing one's higher cognitive functions and
state of affect. Although eye tracking is gaining ground in the research community, it is not …
state of affect. Although eye tracking is gaining ground in the research community, it is not …
State-of-the-art of stress prediction from heart rate variability using artificial intelligence
Recent advancements in the manufacturing and commercialisation of miniaturised sensors
and low-cost wearables have enabled an effortless monitoring of lifestyle by detecting and …
and low-cost wearables have enabled an effortless monitoring of lifestyle by detecting and …
[HTML][HTML] Cross dataset analysis for generalizability of HRV-based stress detection models
Stress is an increasingly prevalent mental health condition across the world. In Europe, for
example, stress is considered one of the most common health problems, and over USD 300 …
example, stress is considered one of the most common health problems, and over USD 300 …
ECG and EEG based detection and multilevel classification of stress using machine learning for specified genders: A preliminary study
Mental health, especially stress, plays a crucial role in the quality of life. During different
phases (luteal and follicular phases) of the menstrual cycle, women may exhibit different …
phases (luteal and follicular phases) of the menstrual cycle, women may exhibit different …
[HTML][HTML] A review of methods and applications for a heart rate variability analysis
Heart rate variability (HRV) has emerged as an essential non-invasive tool for
understanding cardiac autonomic function over the last few decades. This can be attributed …
understanding cardiac autonomic function over the last few decades. This can be attributed …
Predicting mental health disorders using machine learning for employees in technical and non-technical companies
R Katarya, S Maan - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
Mental health has always been an important and challenging issue, especially in the case of
working Professionals. The modernized (hectic) lifestyle and workload take a toll over …
working Professionals. The modernized (hectic) lifestyle and workload take a toll over …
Strategies for reliable stress recognition: A machine learning approach using heart rate variability features
Stress recognition, particularly using machine learning (ML) with physiological data such as
heart rate variability (HRV), holds promise for mental health interventions. However, limited …
heart rate variability (HRV), holds promise for mental health interventions. However, limited …
Biometric data as real-time measure of physiological reactions to environmental stimuli in the built environment
The physiological and cognitive effects of environmental stimuli from the built environment
on humans have been studied for more than a century, over short time frames in terms of …
on humans have been studied for more than a century, over short time frames in terms of …
Designing AI for mental health diagnosis: challenges from sub-Saharan African value-laden judgements on mental health disorders
ET Ugar, N Malele - Journal of medical ethics, 2024 - jme.bmj.com
Recently clinicians have become more reliant on technologies such as artificial intelligence
(AI) and machine learning (ML) for effective and accurate diagnosis and prognosis of …
(AI) and machine learning (ML) for effective and accurate diagnosis and prognosis of …