AI-Based Classification of Normal and Aggressive Behaviors using EMG Signals

• Published in: Innovations in Intelligent Systems and Applications Conference (Online) pp. 1 - 4
• Main Authors: Karakoc, Mert, Calgici, Enes, Kandaz, Derya, Ucar, Muhammed Kursad
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.10.2023
• Subjects: Aggressive Behavior; Analytical models; Behavioral sciences; Classification; Electromyogram; Electromyography; Feature extraction; Machine Learning; Normal Behavior; Signal processing algorithms; Statistical Features; Support vector machines; Technological innovation

Behavior analysis using Electromyogram (EMG) signals is an essential step in understanding aggressive behaviors, the physiological behavior of the neuromuscular system, and its applications in other disciplines. Therefore, this study aimed to develop a model for detecting behaviors using EMG signal...