Prediction and analysis of stress using machine learning: a review

U Bhushan, S Maji - Proceedings of Third Doctoral Symposium on …, 2022 - Springer
In today's advancing world, as technology is evolving by leaps and bounds, it is also
creating various stress symptoms among people. Diseases such as stress, anxiety …

Productive teaming under uncertainty: when a human and a machine classify objects together

A Rother, G Notni, A Hasse, B Noack… - … Robotics and Its …, 2023 - ieeexplore.ieee.org
We study the task of object categorization in an industrial setting. Typically, a machine
classifies objects according to an internal, inferred model, and calls to a human worker if it is …

Implementation of Thermal Camera for Human Stress Detection: A Review

A Hendryani, V Nurdinawati… - International Journal of …, 2023 - ijecbe.ui.ac.id
Stress has become a major problem that people face today. The high level of competition
and environmental demands make people more susceptible to stress. Stress can interfere …

Cardiac Signal Monitoring System using NonContact Measurement for Physiological Features

K Balaraman, A Claret SP - … of the 5th International Conference on …, 2023 - dl.acm.org
Healthcare is a crucial part of human beings; thus, kee** a check by recording and
monitoring certain essential functions of the body is important. Using sensors to record …

Privacy Enhanced Mobile User Authentication Method Using Motion Sensors

C **ong, Z Weng, J Liu, L Gu, F Alqahtani… - … -Computer Modeling in …, 2023 - Elsevier
With the development of hardware devices and the upgrading of smartphones, a large
number of users save privacy-related information in mobile devices, mainly smartphones …

[PDF][PDF] AINAR: Artificial Intelligence for Needle Anxiety Reduction

J Rudokaitė - 2024 - research.tilburguniversity.edu
There is strong evidence to suggest that needle fear is an important risk factor for vasovagal
reactions [9],[10],[5],[139],[140], which includes being nauseous, dizzy, lightheaded, sweaty …

Deep Learning Techniques for Emotional Classification Using Facial Images Among Youngsters

M Pyingkodi, G Chandrasekaran, S Palarimath… - 2024 - papers.ssrn.com
This study attempts to examine the performance of Mobile Net, DenseNet201 and ResNet50
models while designing Convolutional Neural Network (CNN) for emotion recognition and …

Introduction to the Special Issue on Computer-Assisted Imaging Processing and Machine Learning Applications on Diagnosis of Chest Radiograph.

S Wang, Z Zhang, Y Huo - CMES-Computer Modeling in …, 2022 - search.ebscohost.com
The article reports that in clinical medicine, the chest radiograph can provide technical basis
and scientific instruction to recognize a series of thoracic diseases. Topics include …