3 papers
cs.CV2025
Synthetic Data Generation of Body Motion Data by Neural Gas Network for Emotion Recognition
Seyed Muhammad Hossein Mousavi
In the domain of emotion recognition using body motion, the primary challenge lies in the scarcity of diverse and generalizable datasets. Automatic emotion recognition uses machine…
cs.NE2025
Synthetic Data Generation by Supervised Neural Gas Network for Physiological Emotion Recognition Data
S. Muhammad Hossein Mousavi
Data scarcity remains a significant challenge in the field of emotion recognition using physiological signals, as acquiring comprehensive and diverse datasets is often prevented by…
cs.LG2024
PSO Fuzzy XGBoost Classifier Boosted with Neural Gas Features on EEG Signals in Emotion Recognition
Seyed Muhammad Hossein Mousavi
Emotion recognition is the technology-driven process of identifying and categorizing human emotions from various data sources, such as facial expressions, voice patterns, body moti…