A brain-computer interface with gamification in the Metaverse

This study contributes to our understanding of the Metaverse by presenting a case implementation brain-computer interface supported game-based engagement in Virtual Environment (VE). In VE, individuals can communicate with anyone, anywhere, anytime, without any limits. situation will increase barrier-free living standards disabled people more accessible environment. A virtual world well-being awaits these individuals, primarily through gamified applications thanks Brain-Computer Interfaces. environments be infinitely large, but user's movement reality (VR) environment is constrained natural Locomotion has become popular motion as it allows for full exploration VE. this study, teleport method from locomotion methods was used. To teleport, user selects intended location using brain signals before being instantly transported that location. Brain are decomposed into alpha, beta, and gamma bands. The features each band signal Time, frequency, time-frequency domains extracted. proposed method, highest performance binary classification obtained frequency domain Alpha band. Signals alpha were tested Frequency, Time-Frequency. Teleport operations faster Time stable domain. However, Hilbert-Huang Transform (HHT) used Time-Frequency could not respond adequately real-time applications. All analyses experienced Erzurum Tour which prepared promote cultural heritage gamification method.