A Review of Deep Learning Methods for Photoplethysmography Data
Photoplethysmography (PPG) is a highly promising device due to its advantages in
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
portability, user-friendly operation, and non-invasive capabilities to measure a wide range of …
An Overview of Approaches and Methods for the Cognitive Workload Estimation in Human–Machine Interaction Scenarios through Wearables Sensors
Background: Human-Machine Interaction (HMI) has been an important field of research in
recent years, since machines will continue to be embedded in many human actvities in …
recent years, since machines will continue to be embedded in many human actvities in …
Design and implementation of selection algorithm based human emotion recognition system
N Bharathiraja, M Sakthivel, T Deepa… - … on Trends in …, 2023 - ieeexplore.ieee.org
In recent years, many research solutions offered to recognize human emotional states
automatically. As per the report of the world healthcare organization, people fell …
automatically. As per the report of the world healthcare organization, people fell …
[图书][B] Neutrosophic speech recognition Algorithm for speech under stress by Machine learning
It is well known that the unpredictable speech production brought on by stress from the task
at hand has a significant negative impact on the performance of speech processing …
at hand has a significant negative impact on the performance of speech processing …
Stress Monitoring Using Low-Cost Electroencephalogram Devices: A Systematic Literature Review
Introduction. Low-cost health monitoring devices are increasingly being used for mental
health related studies including stress. While cortisol response magnitude remains the gold …
health related studies including stress. While cortisol response magnitude remains the gold …
Eeg based mental stress detection using deep learning techniques
M Tahira, P Vyas - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The importance of identifying stress in living in a fast culture cannot be overstated. The
electrical bio-signals produced by the brain are read out using an electroencephalography …
electrical bio-signals produced by the brain are read out using an electroencephalography …
Neutrosophic speech recognition Algorithm for speech under stress by Machine learning
N Deivanayagampillai, F Smarandache… - Available at SSRN …, 2023 - papers.ssrn.com
It is well known that the unpredictable speech production brought on by stress from the task
at hand has a significant negative impact on the performance of speech processing …
at hand has a significant negative impact on the performance of speech processing …
RoboStressCare: Multimodal AI-based System for Stress Detection and Management
B Nachenahalli Bhuthegowda - 2024 - ntnuopen.ntnu.no
Det moderne livet utsetter oss for stress, som kan svekke både fysisk og psykisk helse over
tid og svekke individuelle prestasjoner. Selv om det er utført omfattende forskning på …
tid og svekke individuelle prestasjoner. Selv om det er utført omfattende forskning på …
Review of Stress Detection Techniques for IT Professionals Using Image Processing with Optimized Machine Learning Classifiers
VA Kallakuri, S Karthikeyan - 2023 11th International …, 2023 - ieeexplore.ieee.org
Stress is an inevitable aspect of every human life and is going to remain for an extended
period of time. Every individual is surely faced with a variety of stressful circumstances from …
period of time. Every individual is surely faced with a variety of stressful circumstances from …
Neutrosophic speech recognition Algorithm for speech under stress by Machine learning
It is well known that the unpredictable speech production brought on by stress from the task
at hand has a significant negative impact on the performance of speech processing …
at hand has a significant negative impact on the performance of speech processing …