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Advancements in brain-machine interfaces for application in the metaverse.

Yang Liu¹, Ruibin Liu^2,3, Jinnian Ge⁴

¹Department of Ophthalmology, First Hospital of China Medical University, Shengyang, China.

Frontiers in Neuroscience

|June 26, 2024

Summary

Brain-machine interfaces (BMIs) offer solutions for enhanced metaverse interaction, enabling sensory simulation for art, healthcare, and social applications. This study explores current BMIs, ethical considerations, and future metaverse integration possibilities.

Keywords:

application brain-machine interface human-computer interaction metaverse neurosecurity

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Area of Science:

Metaverse Technology
Neuroscience
Human-Computer Interaction

Background:

The metaverse increasingly focuses on content exchange and social interaction, highlighting limitations in current audio-visual media.
Brain-machine interfaces (BMIs) are emerging as a key technology to overcome these limitations by enabling sensory simulation.

Purpose of the Study:

To explore the application of BMIs in three metaverse scenarios: generative art, serious gaming for healthcare, and facial expression synthesis.
To analyze existing commercial BMI products and patents.
To discuss the ethical implications and future potential of widespread BMI adoption in the metaverse.

Main Methods:

Literature review of current BMI technologies and applications in the metaverse.
Analysis of commercial products (e.g., MindWave Mobile, GVS, Galea) and patents.
Comparative analysis with the development of network/neurosecurity and bio/neuroethics.

Main Results:

BMIs show significant potential for physiological signal acquisition within the metaverse.
Identified key application areas including generative art, metaverse medicine (serious gaming), and virtual social interactions.
Highlighted challenges related to security, ethics, and widespread adoption.

Conclusions:

BMIs are poised to revolutionize metaverse experiences by enabling richer sensory simulation and interaction.
Addressing ethical and security concerns is crucial for the responsible development and integration of BMIs.
Future metaverse applications of BMIs hold diverse and profound possibilities.