[HTML][HTML] A systematic survey on multimodal emotion recognition using learning algorithms
Emotion recognition is the process to detect, evaluate, interpret, and respond to people's
emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …
emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …
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 …
Emotion recognition from EEG signal focusing on deep learning and shallow learning techniques
Recently, electroencephalogram-based emotion recognition has become crucial in enabling
the Human-Computer Interaction (HCI) system to become more intelligent. Due to the …
the Human-Computer Interaction (HCI) system to become more intelligent. Due to the …
[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 …
[HTML][HTML] A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence
Abstract Brain-Computer Interaction (BCI) system intelligence has become more dependent
on electroencephalogram (EEG)-based emotion recognition because of the numerous …
on electroencephalogram (EEG)-based emotion recognition because of the numerous …
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 …
Corrnet: Fine-grained emotion recognition for video watching using wearable physiological sensors
Recognizing user emotions while they watch short-form videos anytime and anywhere is
essential for facilitating video content customization and personalization. However, most …
essential for facilitating video content customization and personalization. However, most …
LSTM-modeling of emotion recognition using peripheral physiological signals in naturalistic conversations
The automated recognition of human emotions plays an important role in develo**
machines with emotional intelligence. Major research efforts are dedicated to the …
machines with emotional intelligence. Major research efforts are dedicated to the …
Two birds with one stone: Knowledge-embedded temporal convolutional transformer for depression detection and emotion recognition
W Zheng, L Yan, FY Wang - IEEE Transactions on Affective …, 2023 - ieeexplore.ieee.org
Depression is a critical problem in modern society that affects an estimated 350 million
people worldwide, causing feelings of sadness and a lack of interest and pleasure …
people worldwide, causing feelings of sadness and a lack of interest and pleasure …
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 …