Enhancing Brain-Computer Interface Applications through IoT Optimization

Authors

  • Srikanth Suryadevara Sr Software Developer, State of South Carolina - Department of Social Services, 1628 Browning Road, Columbia, SC – 29210 Author

Keywords:

Brain-computer interface, IoT optimization, neural signal processing, real-time data, adaptive feedback, system integration

Abstract

Brain-computer interface (BCI) technology holds promise for revolutionizing
interaction between humans and machines, enabling direct communication pathways based on
neural signals. However, optimizing BCI applications requires overcoming challenges such as
signal noise, latency, and system integration complexities. This paper proposes leveraging Internet
of Things (IoT) technologies to enhance BCI applications through real-time data processing,
adaptive feedback mechanisms, and seamless connectivity. By integrating IoT with BCI systems,
this approach aims to improve usability, reliability, and performance, thereby advancing the
capabilities and accessibility of brain-controlled devices in various domains including healthcare,
gaming, and assistive technology.

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Published

2022-09-07

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