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 …
Stressor Type Matters!---Exploring Factors Influencing Cross-Dataset Generalizability of Physiological Stress Detection
Automatic stress detection using heart rate variability (HRV) features has gained significant
traction as it utilizes unobtrusive wearable sensors measuring signals like electrocardiogram …
traction as it utilizes unobtrusive wearable sensors measuring signals like electrocardiogram …
Associations between facial expressions and observational pain in residents with dementia and chronic pain
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 …
Explainable AI for Audio and Visual Affective Computing: A Sco** Review
Affective computing often relies on audiovisual data to identify affective states from non-
verbal signals, such as facial expressions and vocal cues. Since automatic affect recognition …
verbal signals, such as facial expressions and vocal cues. Since automatic affect recognition …
[PDF][PDF] Socially interactive industrial Robots: A PAD model of Flow for emotional co-regulation
The expanding market for collaborative robots (Cobots)(Knudsen and Kaivo-Oja, 2020)
presents a novel opportunity to leverage Socially Interactive Agents (SIAs) to improve worker …
presents a novel opportunity to leverage Socially Interactive Agents (SIAs) to improve worker …
Socially interactive agents for robotic neurorehabilitation training: conceptualization and proof-of-concept study
Introduction Individuals with diverse motor abilities often benefit from intensive and
specialized rehabilitation therapies aimed at enhancing their functional recovery …
specialized rehabilitation therapies aimed at enhancing their functional recovery …
Faces of Experimental Pain: Transferability of Deep Learned Heat Pain Features to Electrical Pain
P Prajod, D Schiller, DW Don, E André - ar** 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 …