EEG Signal Analysis In Detecting Pornography Addiction

Pratama, Muhammad Gilang and Setiawan, Noor Akhmad and Ferdiana, Ridi (2024) EEG Signal Analysis In Detecting Pornography Addiction. In: ICCSP.

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Abstract

The rapid advancements in digital technology greatly impact addictive behaviors, including pornography addiction. Pornography, originally serving as an outlet for sexual arousal, has resulted in compulsive sexual behavior and addiction to explicit content. This prolonged engagement can adversely affect individuals, affecting their physical and social well-being. In the field of health technology, a significant development is the emergence of a tool capable of monitoring brain activity: the Brain-Computer Interface (BCI). This innovation enables communication between humans and external devices by interpreting brain activity patterns. Electroencephalography (EEG) is particularly notable among BCI methods due to its cost-effectiveness and high temporal resolution. By utilizing EEG-based BCI imagery and various signal processing techniques, it is anticipated to effectively differentiate individuals based on their pornography addiction status. The initial findings of this study demonstrate discernible differences in brainwave patterns between individuals with and without pornography addiction. Moving forward, our goal is to further explore the potential implications and consequences of these variations in brain signals associated with pornography addiction. © 2024 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 0
Uncontrolled Keywords: Behavioral research; Brain; Brain computer interface; Cost effectiveness; Electrophysiology; Neurophysiology; Signal analysis; Addiction; Addictive behaviors; Brain computer interface; Digital technologies; Porn; Pornography; Sexual addictions; Sexual behaviors; Signals analysis; Social well-being; Electroencephalography
Subjects: Q Science > Q Science (General)
T Technology > TA Engineering (General). Civil engineering (General) > Systems engineering
T Technology > TA Engineering (General). Civil engineering (General) > Engineering machinery, tools, and implements
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Sri JUNANDI
Date Deposited: 09 Jan 2025 07:44
Last Modified: 09 Jan 2025 07:44
URI: https://ir.lib.ugm.ac.id/id/eprint/12531

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