[PDF][PDF] Advances In CNN Classification of Food Products

DVS Kishore, KJ Rani - 2022 - academia.edu
Deep neural networks have been developed in recent years to solve exceedingly
complicated computer vision categorization challenges. Although the results obtained with …

Machine Learning for Automated Pain Assessment Using Physiological Signals

F Pouromran - 2022 - search.proquest.com
Pain assessment is a critical step in diagnosing, choosing an intervention, and patient
monitoring. In current clinical settings, typically pain is measured by a patient's self-reported …

A Smart System for Recognizing Human Emotions based on Audio and Text in Multi-Faceted Environments.

M Sangeetha, K Malarvizhi, JC Lebo… - … of Engineering & …, 2024 - search.ebscohost.com
Recognizing emotions from speech and text data in multi-faceted environments is a
challenging task due to the ambiguous nature of emotion itself. To improve the modeling of …

Improving The Classification Accuracy of Negative Emotions Based on Multiple Physiological Signals Using A Novel Information Fusion Method FWBP

J Liang, S Liu, M Du, F Yan, D Ming - Proceedings of the 2021 8th …, 2021 - dl.acm.org
Emotion recognition is crucial in the field of medical health and human-computer interaction.
In recent years, using electroencephalogram (EEG) signals to identify emotions has …

[PDF][PDF] AETIOLOGY ON EMOTION RECOGNITION STRATEGIES USING VIDEO, ELECTROENCEPHALOGRAM AND PHYSIOLOGICAL SIGNALS

JM Vala - ijeast.com
Multimodal emotion recognition is a research area that involves using signals of various
natures, such as facial expressions, speech, gestures, and physiological signals, to …