[HTML][HTML] A stress sensor based on Galvanic Skin Response (GSR) controlled by ZigBee

MV Villarejo, BG Zapirain, AM Zorrilla - Sensors, 2012 - mdpi.com
Sometimes, one needs to control different emotional situations which can lead the person
suffering them to dangerous situations, in both the medium and short term. There are studies …

Emotion recognition employing ECG and GSR signals as markers of ANS

P Das, A Khasnobish… - 2016 conference on …, 2016 - ieeexplore.ieee.org
Change in GSR and ECG signals are expression of Autonomic Nervous System response to
change in environment and physiological system. In this study, we evaluate the …

A machine learning approach for student assessment in E-learning using Quinlan's C4. 5, Naive Bayes and Random Forest algorithms

T Mahboob, S Irfan, A Karamat - 2016 19th international multi …, 2016 - ieeexplore.ieee.org
Student Assessment on e-learning platforms is a debated subject. The focal emphasis of this
research study is to predict fair/transparent student evaluation using machine learning …

Developing intercultural competencies through virtual reality: Internet of Things applications in education and learning

L Hickman, M Akdere - 2018 15th learning and technology …, 2018 - ieeexplore.ieee.org
The 21st century workplace is an increasingly intercultural and collaborative environment.
As a result, soft skills are being recognized as deficient in science, technology, engineering …

Exploring virtual reality for developing soft-skills in STEM education

L Hickman, M Akdere - 2017 7th World Engineering Education …, 2017 - ieeexplore.ieee.org
The 21st century workplace is an increasingly intercultural and collaborative environment.
As a result, soft skills are being recognized as deficient in science, technology, engineering …

[HTML][HTML] Support for employees with ASD in the workplace using a Bluetooth skin resistance sensor–a preliminary study

MT Tomczak, M Wójcikowski, P Listewnik… - Sensors, 2018 - mdpi.com
The application of a Bluetooth skin resistance sensor in assisting people with Autism
Spectrum Disorders (ASD), in their day-to-day work, is presented in this paper. The design …

Interpretation of biosignals and application in healthcare

K Katiyar, P Kumari, A Srivastava - Information and communication …, 2022 - Springer
Abstract “Biosignals” can be defined as the electrical, mechanical, and chemical activity of
cells, which manifest as signals that represent the spatial and temporal records of biological …

[PDF][PDF] Physiological Measurement on Students' Engagement in a Distributed Learning Environment.

C Wang, P Cesar - PhyCS, 2015 - scitepress.org
Measuring students' engagement in a distributed learning environment is a challenge. In
particular, a teacher gives a lecture at one location, while at the same time the remote …

[PDF][PDF] Exploring indicators from keyboard and mouse interactions to predict the user affective state

S Salmeron-Majadas, OC Santos… - … Data Mining 2014, 2014 - educationaldatamining.org
Following a low cost and non-intrusive approach, in this paper we discuss how prediction
rates from 5 different data mining algorithms using 4 different emotional labeling approaches …

Affective computing to enhance emotional sustainability of students in dropout prevention

M Kadar, EG Restrepo, F Ferreira, J Calado… - Proceedings of the 7th …, 2016 - dl.acm.org
In ACACIA project, through its Apoya module seeks to provide means and methods to
enhance emotional sustainability as innovative approach to student's dropout prevention …