Application of photoplethysmography signals for healthcare systems: An in-depth review
Background and objectives Photoplethysmography (PPG) is a device that measures the
amount of light absorbed by the blood vessel, blood, and tissues, which can, in turn …
amount of light absorbed by the blood vessel, blood, and tissues, which can, in turn …
An evaluation of speech-based recognition of emotional and physiological markers of stress
A Baird, A Triantafyllopoulos, S Zänkert… - Frontiers in Computer …, 2021 - frontiersin.org
Life in modern societies is fast-paced and full of stress-inducing demands. The development
of stress monitoring methods is a growing area of research due to the personal and …
of stress monitoring methods is a growing area of research due to the personal and …
Classification of mental stress from wearable physiological sensors using image-encoding-based deep neural network
The human body is designed to experience stress and react to it, and experiencing
challenges causes our body to produce physical and mental responses and also helps our …
challenges causes our body to produce physical and mental responses and also helps our …
MEmoR: A multimodal emotion recognition using affective biomarkers for smart prediction of emotional health for people analytics in smart industries
The intersection of people, data and intelligent machines has a far-reaching impact on the
productivity, efficiency and operations of a smart industry. Internet-of-things (IoT) offers a …
productivity, efficiency and operations of a smart industry. Internet-of-things (IoT) offers a …
Real-time emotional health detection using fine-tuned transfer networks with multimodal fusion
Recognizing and regulating human emotion or a wave of riding emotions are a vital life skill
as it can play an important role in how a person thinks, behaves and acts. Accurate real-time …
as it can play an important role in how a person thinks, behaves and acts. Accurate real-time …
Transformer-based language models for mental health issues: a survey
Early identification and prevention of mental health stresses and their outcomes has become
of urgent importance worldwide. To this purpose, artificial intelligence provides a body of …
of urgent importance worldwide. To this purpose, artificial intelligence provides a body of …
Depress-DCNF: A deep convolutional neuro-fuzzy model for detection of depression episodes using IoMT
Discernible patterns of a person's daily activities can be utilized to detect behavioral
symptomatology of mental illness at early stages. Wearable Internet of Medical Things …
symptomatology of mental illness at early stages. Wearable Internet of Medical Things …
Hierarchical extreme puzzle learning machine-based emotion recognition using multimodal physiological signals
A Pradhan, S Srivastava - Biomedical Signal Processing and Control, 2023 - Elsevier
Detection of exact emotions through multi-modal physiological signals provides relevant
information for different processes. Numerous computational approaches have been …
information for different processes. Numerous computational approaches have been …
A Smart Data-Driven Prototype for Depression and Stress Tracking in Patients
P Pranjal, S Mallick, M Madan, S Mishra… - International Conference …, 2023 - Springer
One of the most significant issues of our time is how stress affects depression and how
depression affects stress. The aim of this paper is to provide a brief overview of IoT use in …
depression affects stress. The aim of this paper is to provide a brief overview of IoT use in …
Efficient feature-selection-based stacking model for stress detection based on chest electrodermal activity
Contemporary advancements in wearable equipment have generated interest in
continuously observing stress utilizing various physiological indicators. Early stress …
continuously observing stress utilizing various physiological indicators. Early stress …