AI-Based Classification of Normal and Aggressive Behaviors using EMG Signals
Küçük Resim Yok
Tarih
2023
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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 analysis. This model utilized a dataset consisting of EMG signals from eight channels obtained during a series of activities on four subjects. Accordingly, a classification model was developed to detect specific features of behaviors and differentiate between normal and aggressive behaviors by analyzing the EMG signals. The model was developed by incorporating signal and statistical features and applying different machine-learning techniques. A total of 44 models were evaluated for their performance. The Support Vector Machine (SVM) classification model developed using all extracted features achieved an accuracy rate of approximately % 91 in behavior classification. The obtained results demonstrate the potential of EMG signals as a tool for behavior detection and classification. © 2023 IEEE.
Açıklama
2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023 -- 11 October 2023 through 13 October 2023 -- Sivas -- 194153
Anahtar Kelimeler
Aggressive Behavior, Classification, Electromyogram, Machine Learning, Normal Behavior, Statistical Features, Biomedical signal processing, Learning systems, Signal detection, Support vector machines, Aggressive behavior, Behavior analysis, Behaviour classification, Classification models, Electromyo grams, Electromyogram signals, Machine-learning, Neuromuscular systems, Normal behavior, Statistical features, Classification (of information)
Kaynak
2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023
WoS Q Değeri
Scopus Q Değeri
N/A
