EEG Signal Analysis In Detecting Pornography Addiction

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.