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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Survey on Brain-Computer Interface Enabled Mobile Vehicles |
| Authors Name: | Rajesh Singh , Dr. Mamta Bansal |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_211098
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| Published Paper Id: | IJNRD2312226 |
| Published In: | Volume 8 Issue 12, December-2023 |
| DOI: | |
| Abstract: | A brain-computer interface allows people to communicate or control a device using their thoughts or other brain activity. BCIs are based on the idea that the brain generates electrical signals in response to various stimuli, such as thoughts, movements, and sensory experiences. These signals can be measured and analyzed using specialized sensors to control devices or perform other tasks. BCIs can be used in various applications, including medical rehabilitation, assistive technology, and research into brain function.[1] Brain-computer interfaces (BCIs) have the potential to revolutionize the way we interact with vehicles. Allowing drivers to control their vehicles using their thoughts or other brain activity, BCIs could make driving safer, more efficient, and more enjoyable. There are several different ways that BCIs could be used in vehicles.[2] For example, a BCI might allow a driver to control a car's acceleration, braking, and steering using their thoughts. This could be particularly useful for drivers with disabilities who may have difficulty using traditional controls. BCIs could also improve safety by detecting changes in a driver's brain activity that may indicate fatigue, stress, or other factors affecting their driving ability. In addition, BCIs could enhance the driving experience by allowing drivers to customize their vehicle's settings or access information and entertainment using their thoughts. [3] |
| Keywords: | EEG Signals, BCI Sensor, Brain Waves, Transportation, Neural Commands, Arduino |
| Cite Article: | " Survey on Brain-Computer Interface Enabled Mobile Vehicles", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 12, page no.c240-c246, December-2023, Available :http://www.ijnrd.org/papers/IJNRD2312226.pdf |
| Downloads: | 000118754 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2312226 Registration ID: 211098 Published In: Volume 8 Issue 12, December-2023 DOI (Digital Object Identifier): Page No: c240-c246 Country: Indore, Madhya Pradesh, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2312226 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2312226 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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