An analysis of body language of patients using artificial intelligence

R Abdulghafor, A Abdelmohsen, S Turaev, MAH Ali… - Healthcare, 2022 - mdpi.com
In recent decades, epidemic and pandemic illnesses have grown prevalent and are a
regular source of concern throughout the world. The extent to which the globe has been …

Body language analysis in healthcare: an overview

R Abdulghafor, S Turaev, MAH Ali - Healthcare, 2022 - mdpi.com
Given the current COVID-19 pandemic, medical research today focuses on epidemic
diseases. Innovative technology is incorporated in most medical applications, emphasizing …

Digital twin model: A real-time emotion recognition system for personalized healthcare

B Subramanian, J Kim, M Maray, A Paul - IEEE Access, 2022 - ieeexplore.ieee.org
Emotion recognition (ER) in healthcare has drawn substantial attention owing to recent
advancements in machine-learning (ML) and deep-learning (DL) techniques. The ER …

A Bi-Stream hybrid model with MLPBlocks and self-attention mechanism for EEG-based emotion recognition

W Li, Y Tian, B Hou, J Dong, S Shao, A Song - … Signal Processing and …, 2023 - Elsevier
Due to the instability and complex distribution of electroencephalography (EEG) signals and
the great cross-subject variations, exploiting valuable and discriminative emotional …

Learning from label relationships in human affect

NM Foteinopoulou, I Patras - Proceedings of the 30th ACM International …, 2022 - dl.acm.org
Human affect and mental state estimation in an automated manner, face a number of
difficulties, including learning from labels with poor or no temporal resolution, learning from …

Survey on Multimodal Approaches to Emotion Recognition

AA Gladys, V Vetriselvi - Neurocomputing, 2023 - Elsevier
Emotion is an instinctive state of mind created by the neurophysiological changes occurring
in the human body as reactions to various internal or external stimuli. Emotions play a vital …

BiSMSM: A hybrid MLP-based model of global self-attention processes for EEG-based emotion recognition

W Li, Y Tian, B Hou, J Dong, S Shao - International Conference on Artificial …, 2022 - Springer
Due to the instability and complex distribution of electroencephalography (EEG) signals and
the great cross-subject variations, extracting valuable and discriminative emotional …

The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology

E Harvey, H Sandhaus, AZ Jacobs, E Moss… - Proceedings of the CHI …, 2024 - dl.acm.org
Motion capture systems, used across various domains, make body representations concrete
through technical processes. We argue that the measurement of bodies and the validation of …

Medical face masks and emotion recognition from the body: insights from a deep learning perspective

N Kegkeroglou, PP Filntisis, P Maragos - Proceedings of the 16th …, 2023 - dl.acm.org
The COVID-19 pandemic has undoubtedly changed the standards and affected all aspects
of our lives, especially social communication. It has forced people to extensively wear …

Comparing Synchronicity in Body Movement among Jazz Musicians with Their Emotions

A Bhave, J Van Delden, PA Gloor, FK Renold - Sensors, 2023 - mdpi.com
This paper presents novel preliminary research that investigates the relationship between
the flow of a group of jazz musicians, quantified through multi-person pose synchronization …