Skin-interfaced wearable sweat sensors for precision medicine
Wearable sensors hold great potential in empowering personalized health monitoring,
predictive analytics, and timely intervention toward personalized healthcare. Advances in …
predictive analytics, and timely intervention toward personalized healthcare. Advances in …
[HTML][HTML] Comprehensive survey of computational ECG analysis: Databases, methods and applications
E Merdjanovska, A Rashkovska - Expert Systems with Applications, 2022 - Elsevier
Electrocardiogram (ECG) recordings are indicative for the state of the human heart.
Automatic analysis of these recordings can be performed using various computational …
Automatic analysis of these recordings can be performed using various computational …
Electrocardiogram-based emotion recognition systems and their applications in healthcare—a review
Affective computing is a field of study that integrates human affects and emotions with
artificial intelligence into systems or devices. A system or device with affective computing is …
artificial intelligence into systems or devices. A system or device with affective computing is …
The fast continuous wavelet transformation (fCWT) for real-time, high-quality, noise-resistant time–frequency analysis
LPA Arts, EL van den Broek - Nature Computational Science, 2022 - nature.com
The spectral analysis of signals is currently either dominated by the speed–accuracy trade-
off or ignores a signal's often non-stationary character. Here we introduce an open-source …
off or ignores a signal's often non-stationary character. Here we introduce an open-source …
LSTM-based emotion detection using physiological signals: IoT framework for healthcare and distance learning in COVID-19
Human emotions are strongly coupled with physical and mental health of any individual.
While emotions exbibit complex physiological and biological phenomenon, yet studies …
While emotions exbibit complex physiological and biological phenomenon, yet studies …
K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations
Recognizing emotions during social interactions has many potential applications with the
popularization of low-cost mobile sensors, but a challenge remains with the lack of …
popularization of low-cost mobile sensors, but a challenge remains with the lack of …
Bringing emotion recognition out of the lab into real life: Recent advances in sensors and machine learning
S Saganowski - Electronics, 2022 - mdpi.com
Bringing emotion recognition (ER) out of the controlled laboratory setup into everyday life
can enable applications targeted at a broader population, eg, helping people with …
can enable applications targeted at a broader population, eg, helping people with …
Sigrep: Toward robust wearable emotion recognition with contrastive representation learning
Extracting emotions from physiological signals has become popular over the past decade.
Recent advancements in wearable smart devices have enabled capturing physiological …
Recent advancements in wearable smart devices have enabled capturing physiological …
Toward emotion recognition from physiological signals in the wild: approaching the methodological issues in real-life data collection
Emotion, mood, and stress recognition (EMSR) has been studied in laboratory settings for
decades. In particular, physiological signals are widely used to detect and classify affective …
decades. In particular, physiological signals are widely used to detect and classify affective …
Approaches, applications, and challenges in physiological emotion recognition—a tutorial overview
An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …
applications in daily life from monitoring emotional well-being to improving the quality of life …