A Reproducible Stress Prediction Pipeline with Mobile Sensor Data
Recent efforts to predict stress in the wild using mobile technology have increased; however,
the field lacks a common pipeline for assessing the impact of factors such as label encoding …
the field lacks a common pipeline for assessing the impact of factors such as label encoding …
Continual learning in medical image analysis: A survey
In the dynamic realm of practical clinical scenarios, Continual Learning (CL) has gained
increasing interest in medical image analysis due to its potential to address major …
increasing interest in medical image analysis due to its potential to address major …
A hybrid transposed attention based deep learning model for wearable and explainable stress recognition
Stress is a prevalent issue in modern society which affects a large percentage of the
population. Stress has negative effects on human daily lives such as reduced memory and …
population. Stress has negative effects on human daily lives such as reduced memory and …
[HTML][HTML] Improved method for stress detection using bio-sensor technology and machine learning algorithms
Maintaining an optimal stress level is vital in our lives, yet many individuals struggle to
identify the sources of their stress. As emotional stability and mental awareness become …
identify the sources of their stress. As emotional stability and mental awareness become …
SOSW: Stress Sensing with Off-the-shelf Smartwatches in the Wild
Recent advances in wearable technology have led to the development of various methods
for stress sensing in both controlled laboratory and real-life environments. However, existing …
for stress sensing in both controlled laboratory and real-life environments. However, existing …
A Real-Time Emotion-Aware System Based on Wireless Body Area Network for IoMT Applications
The Internet of Medical Things (IoMT) stimulates the development of intelligent medical
applications. As mental disorders become a global problem, emotion recognition has …
applications. As mental disorders become a global problem, emotion recognition has …
MCNN-CMCA: A multiscale convolutional neural networks with cross-modal channel attention for physiological signal-based mental state recognition
Y Wei, L Cao, Y Dong, T Liu - Digital Signal Processing, 2025 - Elsevier
Human mental state recognition (MSR) has significant implications for human-machine
interactions. Although mental state recognition models based on single-modality signals …
interactions. Although mental state recognition models based on single-modality signals …
[HTML][HTML] Exploring Technology Acceptance of Healthcare Devices: The Moderating Role of Device Type and Generation
The increasing adoption of healthcare devices necessitates a deeper understanding of the
factors that influence user acceptance in this rapidly evolving area. Therefore, this study …
factors that influence user acceptance in this rapidly evolving area. Therefore, this study …
ElectraSight: Smart Glasses with Fully Onboard Non-Invasive Eye Tracking Using Hybrid Contact and Contactless EOG
Smart glasses with integrated eye tracking technology are revolutionizing diverse fields,
from immersive augmented reality experiences to cutting-edge health monitoring solutions …
from immersive augmented reality experiences to cutting-edge health monitoring solutions …
An Examination of Mental Stress in College Students: Utilizing Intelligent Perception Data and the Mental Stress Scale
Z Liao, X Fan, W Ma, Y Shen - Mathematics, 2024 - mdpi.com
In order to solve the problems of traditional mental stress detection in college students that
are time-consuming, random, and subjective, this paper proposes an intelligent perception …
are time-consuming, random, and subjective, this paper proposes an intelligent perception …