[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 …
[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 …
Generalization and personalization of mobile sensing-based mood inference models: an analysis of college students in eight countries
Mood inference with mobile sensing data has been studied in ubicomp literature over the
last decade. This inference enables context-aware and personalized user experiences in …
last decade. This inference enables context-aware and personalized user experiences in …
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 …
Smart consumer wearables as digital diagnostic tools: a review
The increasing usage of smart wearable devices has made an impact not only on the
lifestyle of the users, but also on biological research and personalized healthcare services …
lifestyle of the users, but also on biological research and personalized healthcare services …
CEAP-360VR: A Continuous Physiological and Behavioral Emotion Annotation Dataset for 360 VR Videos
Watching 360 videos using Virtual Reality (VR) head-mounted displays (HMDs) provides
interactive and immersive experiences, where videos can evoke different emotions. Existing …
interactive and immersive experiences, where videos can evoke different emotions. Existing …
Transformer-based self-supervised multimodal representation learning for wearable emotion recognition
Recently, wearable emotion recognition based on peripheral physiological signals has
drawn massive attention due to its less invasive nature and its applicability in real-life …
drawn massive attention due to its less invasive nature and its applicability in real-life …
Few-shot learning for fine-grained emotion recognition using physiological signals
Fine-grained emotion recognition can model the temporal dynamics of emotions, which is
more precise than predicting one emotion retrospectively for an activity (eg, video clip …
more precise than predicting one emotion retrospectively for an activity (eg, video clip …
Machine learning techniques for arousal classification from electrodermal activity: A systematic review
R Sánchez-Reolid, F López de la Rosa… - Sensors, 2022 - mdpi.com
This article introduces a systematic review on arousal classification based on electrodermal
activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six …
activity (EDA) and machine learning (ML). From a first set of 284 articles searched for in six …
Multimodal emotion recognition: A comprehensive review, trends, and challenges
MPA Ramaswamy… - … Reviews: Data Mining and …, 2024 - Wiley Online Library
Automatic emotion recognition is a burgeoning field of research and has its roots in
psychology and cognitive science. This article comprehensively reviews multimodal emotion …
psychology and cognitive science. This article comprehensively reviews multimodal emotion …