Review of studies on emotion recognition and judgment based on physiological signals

W Lin, C Li - Applied Sciences, 2023 - mdpi.com
People's emotions play an important part in our daily life and can not only reflect
psychological and physical states, but also play a vital role in people's communication …

Supporting Human-AI Teams: Transparency, explainability, and situation awareness

MR Endsley - Computers in Human Behavior, 2023 - Elsevier
Abstract System autonomy and AI are being developed for a wide variety of applications
where they will likely work in tandem with people, forming human-AI teams (HAT). Situation …

Knowledge development in non-fungible tokens (NFT): a scoping review

A Behl, V Pereira, A Nigam, S Wamba… - Journal of Knowledge …, 2024 - emerald.com
Purpose The purpose of this paper is to investigate the potential of NFTs in revolutionizing
innovation management and information systems. Innovations done by firms are blatantly …

An approach to assessing shopper acceptance of beacon triggered promotions in smart retail

N Đurđević, A Labus, D Barać, M Radenković… - Sustainability, 2022 - mdpi.com
This paper studies shopper acceptance for using beacons in the purchase process. The
main goal is to examine shopper response to beacon-triggered promotions and propose a …

Applying self-supervised representation learning for emotion recognition using physiological signals

KG Montero Quispe, DMS Utyiama, EM Dos Santos… - Sensors, 2022 - mdpi.com
The use of machine learning (ML) techniques in affective computing applications focuses on
improving the user experience in emotion recognition. The collection of input data (eg …

A Scalable Blockchain Framework for Secure Transactions in IoT-Based Dynamic Applications

S Basudan - IEEE Open Journal of the Communications Society, 2023 - ieeexplore.ieee.org
The essential characteristics of blockchain, such as immutability and auditability, are leading
to its increasing incorporation into society. The Internet of Things (IoT) aims to create a …

Hybrid facial emotion recognition using CNN-based features

HM Shahzad, SM Bhatti, A Jaffar, S Akram, M Alhajlah… - Applied Sciences, 2023 - mdpi.com
In computer vision, the convolutional neural network (CNN) is a very popular model used for
emotion recognition. It has been successfully applied to detect various objects in digital …

Machine learning algorithms for detection and classifications of emotions in contact center applications

M Płaza, S Trusz, J Kęczkowska, E Boksa, S Sadowski… - Sensors, 2022 - mdpi.com
Over the past few years, virtual assistant solutions used in Contact Center systems are
gaining popularity. One of the main tasks of the virtual assistant is to recognize the intentions …

The use of wearable technologies in the assessment of physical activity in preschool-and school-age youth: systematic review

AC Sousa, SN Ferrinho, B Travassos - International journal of …, 2023 - mdpi.com
In recent years, physical activity assessment has increasingly relied on wearable monitors to
provide measures for surveillance, intervention, and epidemiological research. This present …

The relationship between landscape metrics and facial expressions in 18 urban forest parks of Northern China

P Liu, M Liu, T Xia, Y Wang, P Guo - Forests, 2021 - mdpi.com
Urban forests are an important green infrastructure that positively impacts human well-being
by improving emotions and reducing psychological stress. Questionnaires have been used …