## 1 Introduction
In this review article, our primary focus is on the use of EEG signals for sensing human emotions among the various biometric signals and their associated features. This emphasis is due to the unique human ability to perceive and express emotions, a trait that is central to our survival, decision-making, and daily interactions. The following section will present a representative example of how EEG biometrics are integrated into IoT solutions. The integration of IoT with 5G wireless networks marks a significant milestone, particularly in the field of EEG signal classification. This fusion introduces a range of advantages, deeply transforming the field of neuroscience. Additionally, it allows the potential to bring innovative changes in healthcare, human-computer interaction, and related domains. The convergence of IoT and 5G technology in the fields of biomedical research and neurotechnology represents a critical advancement, especially in enhancing EEG applications. EEG, known for its ability to record brain electrical activity, holds immense promise in diverse sectors such as medical diagnostics and BCI [8]. The integration of IoT and 5G into EEG systems signifies a substantial progression, opening up novel opportunities for enhanced data acquisition, processing, and utilization. The employment of IoT technology in EEG systems entails the utilization of sophisticated, interconnected devices designed for the acquisition and transmission of brainwave data. These devices, which include wearable EEG headbands or caps, are outfitted with numerous electrodes that capture the brain's electrical signals. The primary benefit of IoT-enabled EEG devices is their capacity to provide continuous monitoring and real-time data transmission, thereby enabling consistent evaluation and analysis [34]. The integration of IoT devices into EEG systems has transformed them into more lightweight and portable tools, significantly enhancing EEG accessibility beyond traditional clinical environments. This portability is particularly beneficial for remote patient monitoring and ambulatory EEG studies. IoT devices are capable of collecting extensive data sets, which are then transmitted to cloud-based platforms for storage and sophisticated analysis. This process is crucial for managing large data volumes and is essential in advanced research and analysis. Furthermore, the incorporation of 5G technology into EEG systems primarily addresses challenges associated with data transmission and processing [35]. Moreover, 5G networks provide significantly higher speeds compared to their earlier counterparts, a critical feature for transmitting the substantial data volumes produced by EEG devices, especially in detailed brain mapping. The minimal latency of 5G networks enables almost rapid data transmission, which is crucial for applications that require prompt responses or interventions, such as neurofeedback therapy or BCI. Additionally, 5G networks offer more reliable and stable connections, which are vital for continuous monitoring applications and ensuring the integrity of the transmitted EEG data [36; 37]. The combination of IoT and 5G technologies within EEG systems opens up a diverse range of applications. In healthcare, it facilitates enhanced monitoring and management of neurological disorders, providing valuable insights into brain activity patterns that can inform treatment strategies. In research, it allows for more in-depth and detailed studies of brain functioning and neurophysiology. Furthermore, in the field of brain-computer interfaces, this integration sets the stage for the development of more sophisticated systems that offer faster and more accurate responses, potentially transforming the way humans interact with technology [38]. Overall, the integration of IoT and 5G technologies into EEG systems represents a significant advancement in neurotechnology.