[HTML][HTML] A review on virtual reality skill training applications

B Xie, H Liu, R Alghofaili, Y Zhang, Y Jiang… - Frontiers in Virtual …, 2021 - frontiersin.org
This paper aims to discuss the research efforts in developing virtual reality (VR) technology
for different training applications. To begin with, we describe how VR training experiences …

Biometric systems utilising health data from wearable devices: applications and future challenges in computer security

S Khan, S Parkinson, L Grant, N Liu… - ACM Computing Surveys …, 2020 - dl.acm.org
Health data are being increasingly sensed from the health-based wearable Internet of
Things (IoT) devices, providing much-needed fitness and health tracking. However, data …

EEG-based multi-modal emotion recognition using bag of deep features: An optimal feature selection approach

MA Asghar, MJ Khan, xx Fawad, Y Amin, M Rizwan… - Sensors, 2019 - mdpi.com
Much attention has been paid to the recognition of human emotions with the help of
electroencephalogram (EEG) signals based on machine learning technology. Recognizing …

A study of neuromarketing techniques for proposing cost effective information driven framework for decision making

R Gill, J Singh - Materials Today: Proceedings, 2022 - Elsevier
Neuromarketing has brought a revolution in the field of marketing. The adoption of
Neuromarketing has resulted in better understanding of consumer behaviour. The thrust for …

Using facial micro-expressions in combination with EEG and physiological signals for emotion recognition

N Saffaryazdi, ST Wasim, K Dileep, AF Nia… - Frontiers in …, 2022 - frontiersin.org
Emotions are multimodal processes that play a crucial role in our everyday lives.
Recognizing emotions is becoming more critical in a wide range of application domains …

A survey of multidisciplinary domains contributing to affective computing

R Arya, J Singh, A Kumar - Computer Science Review, 2021 - Elsevier
Affective computing intends to train computers with human-like abilities. It is a
multidisciplinary research field, in which interrelated domains like sociology, psychology …

Emotion recognition in conversations using brain and physiological signals

N Saffaryazdi, Y Goonesekera, N Saffaryazdi… - Proceedings of the 27th …, 2022 - dl.acm.org
Emotions are complicated psycho-physiological processes that are related to numerous
external and internal changes in the body. They play an essential role in human-human …

Application of electroencephalography-based machine learning in emotion recognition: A review

J Cai, R Xiao, W Cui, S Zhang, G Liu - Frontiers in Systems …, 2021 - frontiersin.org
Emotion recognition has become increasingly prominent in the medical field and human-
computer interaction. When people's emotions change under external stimuli, various …

AI inspired EEG-based spatial feature selection method using multivariate empirical mode decomposition for emotion classification

MA Asghar, MJ Khan, M Rizwan, M Shorfuzzaman… - Multimedia …, 2022 - Springer
Classification of human emotions based on electroencephalography (EEG) is a very popular
topic nowadays in the provision of human health care and well-being. Fast and effective …

Evaluation and assessment of virtual reality-based simulated training: exploring the human–technology frontier

M Akdere, Y Jiang, FD Lobo - European Journal of Training and …, 2021 - emerald.com
Purpose As new technologies such as immersive and augmented platforms emerge, training
approaches are also transforming. The virtual reality (VR) platform provides a completely …