Jul 2, 2024 · The results show that the RNN model is able to predict stress levels above current state-of-the-art with up to 94% accuracy in some cases, ...
Jul 3, 2024 · The results show that the RNN model is able to predict stress levels above current state-of-the-art with up to 94% accuracy in some cases, ...
A Deep Learning Approach to Estimate Multi-Level Mental Stress From EEG Using Serious Games. Joaquin J. Gonzalez-Vazquez, Lluis Bernat, José L. Ramon, ...
A Deep Learning Approach to Estimate Multi-Level Mental Stress from EEG using Serious Games. April 2024 · IEEE Journal of Biomedical and Health Informatics.
Jul 26, 2024 · A Deep Learning Approach to Estimate Multi-Level Mental Stress from EEG using Serious Games Gonzalez-Vazquez, Joaquin J.; Bernat, Lluis ...
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This study conducted a group of 23 participants over a stress-relax experience while monitoring their EEG and developed individual models based on ...
This study aims to assess the feasibility of estimating the level of stress that the user is perceiving related to a specific task through an ...
In this paper, we review the existing EEG signal analysis methods on the assessment of mental stress. The review highlights the critical differences between ...
We propose a novel deep learning approach, where we fuse 1D raw ECG signal form with its spec- trogram representation. Conversion to spectrogram image from 1D ...
Apr 21, 2024 · In this paper, we propose innovative methods to assess mental workload from EEG data that use effective brain connectivity for the purpose of extracting ...