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 …
Artificial intelligence-powered electronic skin
Skin-interfaced electronics is gradually changing medical practices by enabling continuous
and non-invasive tracking of physiological and biochemical information. With the rise of big …
and non-invasive tracking of physiological and biochemical information. With the rise of big …
[HTML][HTML] Stress detection in daily life scenarios using smart phones and wearable sensors: A survey
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 …
smartphones, smartwatches and smart wrist-bands have become an integral part of our lives …
Continuous stress detection using wearable sensors in real life: Algorithmic programming contest case study
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 …
level stress must be detected at early stages to prevent these negative effects. After the …
A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
Sensors and functionalities of non-invasive wrist-wearable devices: A review
Wearable devices have recently received considerable interest due to their great promise for
a plethora of applications. Increased research efforts are oriented towards a non-invasive …
a plethora of applications. Increased research efforts are oriented towards a non-invasive …
Deep PPG: Large-scale heart rate estimation with convolutional neural networks
A Reiss, I Indlekofer, P Schmidt, K Van Laerhoven - Sensors, 2019 - mdpi.com
Photoplethysmography (PPG)-based continuous heart rate monitoring is essential in a
number of domains, eg, for healthcare or fitness applications. Recently, methods based on …
number of domains, eg, for healthcare or fitness applications. Recently, methods based on …
Privacy-preserving federated deep learning for wearable IoT-based biomedical monitoring
IoT devices generate massive amounts of biomedical data with increased digitalization and
development of the state-of-the-art automated clinical data collection systems. When …
development of the state-of-the-art automated clinical data collection systems. When …
Wearable-based affect recognition—A review
Affect recognition is an interdisciplinary research field bringing together researchers from
natural and social sciences. Affect recognition research aims to detect the affective state of a …
natural and social sciences. Affect recognition research aims to detect the affective state of a …
[HTML][HTML] Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review
Introduction Wearable sensors have shown promise as a non-intrusive method for collecting
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …
biomarkers that may correlate with levels of elevated stress. Stressors cause a variety of …