A Reproducible Stress Prediction Pipeline with Mobile Sensor Data

P Zhang, G Jung, J Alikhanov, U Ahmed… - Proceedings of the ACM …, 2024 - dl.acm.org
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 …

Continual learning in medical image analysis: A survey

X Wu, Z Xu, RK Tong - Computers in Biology and Medicine, 2024 - Elsevier
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 …

A hybrid transposed attention based deep learning model for wearable and explainable stress recognition

R Tanwar, G Singh, PK Pal - Computers and Electrical Engineering, 2024 - Elsevier
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 …

[HTML][HTML] Improved method for stress detection using bio-sensor technology and machine learning algorithms

M Nazeer, S Salagrama, P Kumar, K Sharma… - MethodsX, 2024 - Elsevier
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 …

SOSW: Stress Sensing with Off-the-shelf Smartwatches in the Wild

K Toshnazarov, U Lee, BH Kim… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
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 …

A Real-Time Emotion-Aware System Based on Wireless Body Area Network for IoMT Applications

C Li, Y Mao, Q Huang, W Xie, X He… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) stimulates the development of intelligent medical
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 …

[HTML][HTML] Exploring Technology Acceptance of Healthcare Devices: The Moderating Role of Device Type and Generation

S Kim, Y Zhong, J Wang, HS Kim - Sensors, 2024 - mdpi.com
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 …

ElectraSight: Smart Glasses with Fully Onboard Non-Invasive Eye Tracking Using Hybrid Contact and Contactless EOG

N Schärer, F Villani, A Melatur, S Peter… - arXiv preprint arXiv …, 2024 - arxiv.org
Smart glasses with integrated eye tracking technology are revolutionizing diverse fields,
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 …