Machine learning for healthcare wearable devices: the big picture
Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …
been actively researched over the last few years. It holds promising opportunities as it is …
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 …
Requirements, challenges, and novel ideas for wearables on power supply and energy harvesting
Y Sun, YZ Li, M Yuan - Nano Energy, 2023 - Elsevier
Smart wearables are receiving increasing attention. Different forms of wearables have a
wide range of power requirements, and lithium-ion batteries are now the most popular …
wide range of power requirements, and lithium-ion batteries are now the most popular …
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 …
Pain and stress detection using wearable sensors and devices—A review
Pain is a subjective feeling; it is a sensation that every human being must have experienced
all their life. Yet, its mechanism and the way to immune to it is still a question to be …
all their life. Yet, its mechanism and the way to immune to it is still a question to be …
Stress research during the COVID-19 pandemic and beyond
The COVID-19 pandemic confronts stress researchers in psychology and neuroscience with
unique challenges. Widely used experimental paradigms such as the Trier Social Stress …
unique challenges. Widely used experimental paradigms such as the Trier Social Stress …
Emotion recognition for everyday life using physiological signals from wearables: A systematic literature review
Smart wearables, equipped with sensors monitoring physiological parameters, are
becoming an integral part of our life. In this work, we investigate the possibility of utilizing …
becoming an integral part of our life. In this work, we investigate the possibility of utilizing …
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 …
[HTML][HTML] A text classification approach to detect psychological stress combining a lexicon-based feature framework with distributional representations
S Muñoz, CA Iglesias - Information Processing & Management, 2022 - Elsevier
Nowadays, stress has become a growing problem for society due to its high impact on
individuals but also on health care systems and companies. In order to overcome this …
individuals but also on health care systems and companies. In order to overcome this …
The MuSe 2021 multimodal sentiment analysis challenge: sentiment, emotion, physiological-emotion, and stress
Multimodal Sentiment Analysis (MuSe) 2021 is a challenge focusing on the tasks of
sentiment and emotion, as well as physiological-emotion and emotion-based stress …
sentiment and emotion, as well as physiological-emotion and emotion-based stress …