Automated emotion recognition: Current trends and future perspectives
Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …
recognition has applications in multiple domains such as health care, e-learning …
[HTML][HTML] A review of recent approaches for emotion classification using electrocardiography and electrodermography signals
AF Bulagang, NG Weng, J Mountstephens… - Informatics in Medicine …, 2020 - Elsevier
This paper reviews emotion classification investigations, focusing on the use of the
Electrocardiogram (ECG) and Electrodermography (EDG)/Galvanic Skin Response (GSR) …
Electrocardiogram (ECG) and Electrodermography (EDG)/Galvanic Skin Response (GSR) …
Deep transfer learning for time series data based on sensor modality classification
The scarcity of labelled time-series data can hinder a proper training of deep learning
models. This is especially relevant for the growing field of ubiquitous computing, where data …
models. This is especially relevant for the growing field of ubiquitous computing, where data …
Explainable artificial intelligence (XAI) in pain research: Understanding the role of electrodermal activity for automated pain recognition
Artificial intelligence and especially deep learning methods have achieved outstanding
results for various applications in the past few years. Pain recognition is one of them, as …
results for various applications in the past few years. Pain recognition is one of them, as …
[PDF][PDF] Sieci nski
RJ Doniec, NJ Piaseczna, KA Szymczyk… - Neural …, 2023 - academia.edu
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
Reconstruction of galvanic skin Response peaks via sparse representation
Continuous and long-term measurement of physiological signals out of clinical settings may
face different processing requirements resulting in higher costs or reduced performance …
face different processing requirements resulting in higher costs or reduced performance …
Sensor-based classification of primary and secondary car driver activities using convolutional neural networks
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
Driver Stress Detection from Physiological Signals by Virtual Reality Simulator
N Mateos-García, AB Gil-González, A Luis-Reboredo… - Electronics, 2023 - mdpi.com
One of the many areas in which artificial intelligence (AI) techniques are used is the
development of systems for the recognition of vital emotions to control human health and …
development of systems for the recognition of vital emotions to control human health and …
Non-invasive wearable devices for monitoring vital signs in patients with type 2 diabetes mellitus: a systematic review
A Piet, L Jablonski, JI Daniel Onwuchekwa, S Unkel… - Bioengineering, 2023 - mdpi.com
Type 2 diabetes mellitus (T2D) poses a significant global health challenge and demands
effective self-management strategies, including continuous blood glucose monitoring (CGM) …
effective self-management strategies, including continuous blood glucose monitoring (CGM) …
Brain-imaging techniques in educational technologies: A systematic literature review
K Tenório, E Pereira, S Remigio, D Costa… - Education and …, 2022 - Springer
Recent studies are increasingly using brain-imaging techniques in the technology-
enhanced learning (TEL) context to understand students' cognitive processes during …
enhanced learning (TEL) context to understand students' cognitive processes during …