Survey on explainable AI: From approaches, limitations and applications aspects
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …
and has greatly benefited our lives. While AI can accurately extract critical features and …
Approaches, applications, and challenges in physiological emotion recognition—a tutorial overview
An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …
applications in daily life from monitoring emotional well-being to improving the quality of life …
Toward explainable affective computing: A review
K Cortiñas-Lorenzo, G Lacey - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Affective computing has an unprecedented potential to change the way humans interact with
technology. While the last decades have witnessed vast progress in the field, multimodal …
technology. While the last decades have witnessed vast progress in the field, multimodal …
Associations between facial expressions and observational pain in residents with dementia and chronic pain
L Pu, MW Coppieters, M Smalbrugge… - Journal of advanced …, 2024 - Wiley Online Library
Aim To identify specific facial expressions associated with pain behaviors using the
PainChek application in residents with dementia. Design This is a secondary analysis from a …
PainChek application in residents with dementia. Design This is a secondary analysis from a …
Flow in human-robot collaboration—multimodal analysis and perceived challenge detection in industrial scenarios
Introduction: Flow state, the optimal experience resulting from the equilibrium between
perceived challenge and skill level, has been extensively studied in various domains …
perceived challenge and skill level, has been extensively studied in various domains …
Faces of Experimental Pain: Transferability of Deep Learned Heat Pain Features to Electrical Pain
The limited size of pain datasets are a challenge in developing robust deep learning models
for pain recognition. Transfer learning approaches are often employed in these scenarios. In …
for pain recognition. Transfer learning approaches are often employed in these scenarios. In …
End-to-end learning and analysis of infant engagement during guided play: Prediction and explainability
Infant engagement during guided play is a reliable indicator of early learning outcomes,
psychiatric issues and familial wellbeing. An obstacle to using such information in real-world …
psychiatric issues and familial wellbeing. An obstacle to using such information in real-world …
Socially Interactive Agents for Robotic Neurorehabilitation Training: Conceptualization and Proof-of-concept Study
Individuals with diverse motor abilities often benefit from intensive and specialized
rehabilitation therapies aimed at enhancing their functional recovery. Nevertheless, the …
rehabilitation therapies aimed at enhancing their functional recovery. Nevertheless, the …
Authors' response to Hughes et al.(2024)
L Pu, MW Coppieters, M Smalbrugge… - Journal of …, 2024 - research.bond.edu.au
We thank the Editor for the opportunity to respond to the comments raised in the letter to the
editor by Hughes et al.(2024). We also thank Hughes et al. for their interest in our paper (Pu …
editor by Hughes et al.(2024). We also thank Hughes et al. for their interest in our paper (Pu …
Pain Classification and Intensity Estimation Through the Analysis of Facial Action Units
This study focuses on using facial expressions to evaluate acute pain levels. We analyse
videos by relying on an extended set of 17 Action Units (AUs) and head pose components …
videos by relying on an extended set of 17 Action Units (AUs) and head pose components …