Exploring the landscape of ubiquitous in-home health monitoring: a comprehensive survey
F Pourpanah, A Etemad - ACM Transactions on Computing for …, 2024 - dl.acm.org
Ubiquitous in-home health monitoring systems have become popular in recent years due to
the rise of digital health technologies and the growing demand for remote health monitoring …
the rise of digital health technologies and the growing demand for remote health monitoring …
Physiological signal analysis using explainable artificial intelligence: A systematic review
J Shen, J Wu, H Liang, Z Zhao, K Li, K Zhu, K Wang… - Neurocomputing, 2024 - Elsevier
With the continuous development of wearable sensors, it has become increasingly
convenient to collect various physiological signals from the human body. The combination of …
convenient to collect various physiological signals from the human body. The combination of …
EEG-based cognitive load classification using feature masked autoencoding and emotion transfer learning
Cognitive load, the amount of mental effort required for task completion, plays an important
role in performance and decision-making outcomes, making its classification and analysis …
role in performance and decision-making outcomes, making its classification and analysis …
Mobile phone use driver distraction detection based on MSaE of multi-modality physiological signals
Driver distraction, a major cause of traffic crashes, is reported to reduce driving performance
and be detected with vehicle behavioral features. It also induces physiological responses …
and be detected with vehicle behavioral features. It also induces physiological responses …
A spatiotemporal separable graph convolutional network for oddball paradigm classification under different cognitive-load scenarios
Y Li, K Li, S Wang, H Wu, P Li - Expert Systems with Applications, 2025 - Elsevier
The application of flight automation systems has increased the demand for detecting the
cognitive load of pilots. Event-related potentials (ERPs) based on electroencephalogram …
cognitive load of pilots. Event-related potentials (ERPs) based on electroencephalogram …
Cognitive Workload Estimation in Conditionally Automated Vehicles Using Transformer Networks Based on Physiological Signals
Though driving automation promises to improve driving safety, drivers are still required to be
ready to retake control in conditionally automated vehicles, which are defined by the Society …
ready to retake control in conditionally automated vehicles, which are defined by the Society …
Classification of Driver Cognitive Load in Conditionally Automated Driving: Utilizing Electrocardiogram-Based Spectrogram with Lightweight Neural Network
With the development of conditionally automated driving, drivers will be allowed to perform
non-driving-related tasks. Under such circumstances, continuous monitoring of driver …
non-driving-related tasks. Under such circumstances, continuous monitoring of driver …
[PDF][PDF] Classification of Driver Cognitive Load in Conditionally Automated Driving: Utilizing ECG-based Spectrogram with Light-weight Neural Network
W Shi, Z Wang, A Wang - personal.hkust-gz.edu.cn
With the development of conditionally automated driving, drivers will be allowed to perform
non-drivingrelated tasks. Under such circumstances, continuous monitoring of driver …
non-drivingrelated tasks. Under such circumstances, continuous monitoring of driver …