Brain-Computer Interface (BCI)
• Exploring the Connection Between Brain and
Technology
• Presenter Name | Date
What is BCI?
• • A system that enables direct communication
between the brain and an external device
• • Translates brain signals into commands
• • Also known as Brain-Machine Interface
(BMI)
History of BCI
• • 1970s: First BCI research began
• • 1990s: Development of EEG-based BCIs
• • 2000s-Present: Advancements in
neurotechnology and AI integration
How BCI Works
• 1. Signal Acquisition (e.g., EEG, fMRI)
• 2. Signal Processing
• 3. Feature Extraction
• 4. Translation Algorithm
• 5. Device Control
Types of BCI
• • Invasive BCI: Implanted electrodes
• • Semi-invasive BCI: Electrodes on brain
surface
• • Non-invasive BCI: EEG caps or sensors on
scalp
Signal Acquisition Methods
• • EEG (Electroencephalography)
• • MEG (Magnetoencephalography)
• • fMRI (Functional Magnetic Resonance
Imaging)
• • ECoG (Electrocorticography)
Applications of BCI
• • Medical: Prosthetics control, communication
aids for paralyzed individuals
• • Gaming: Brain-controlled games
• • Education and Training
• • Military and Defense
BCI in Medicine
• • Assistive technologies for ALS, stroke
patients
• • Neurorehabilitation
• • Control of robotic limbs and wheelchairs
BCI in Gaming and Entertainment
• • Immersive gaming experiences
• • Mind-controlled devices and virtual
environments
• • Enhancing user interaction
Challenges in BCI
• • Signal noise and accuracy
• • High cost of equipment
• • Invasiveness and ethical concerns
• • User training and adaptability
Ethical Considerations
• • Privacy of brain data
• • Consent and autonomy
• • Potential for misuse (e.g., surveillance)
• • Equity and accessibility
Recent Advances in BCI
• • Elon Musk's Neuralink
• • AI-powered signal processing
• • Wireless and wearable BCI devices
Future of BCI
• • Integration with AI and IoT
• • Enhanced human-computer interaction
• • Potential for cognitive enhancement
BCI Research and Development
• • Major research institutions and companies
• • Ongoing clinical trials
• • Interdisciplinary collaboration
Conclusion & Q&A
• BCI is revolutionizing the way humans interact
with technology.
• Promises major advancements in healthcare,
communication, and beyond.
• Questions?

Brain_Computer_Interface_Presentation.pptx

  • 1.
    Brain-Computer Interface (BCI) •Exploring the Connection Between Brain and Technology • Presenter Name | Date
  • 2.
    What is BCI? •• A system that enables direct communication between the brain and an external device • • Translates brain signals into commands • • Also known as Brain-Machine Interface (BMI)
  • 3.
    History of BCI •• 1970s: First BCI research began • • 1990s: Development of EEG-based BCIs • • 2000s-Present: Advancements in neurotechnology and AI integration
  • 4.
    How BCI Works •1. Signal Acquisition (e.g., EEG, fMRI) • 2. Signal Processing • 3. Feature Extraction • 4. Translation Algorithm • 5. Device Control
  • 5.
    Types of BCI •• Invasive BCI: Implanted electrodes • • Semi-invasive BCI: Electrodes on brain surface • • Non-invasive BCI: EEG caps or sensors on scalp
  • 6.
    Signal Acquisition Methods •• EEG (Electroencephalography) • • MEG (Magnetoencephalography) • • fMRI (Functional Magnetic Resonance Imaging) • • ECoG (Electrocorticography)
  • 7.
    Applications of BCI •• Medical: Prosthetics control, communication aids for paralyzed individuals • • Gaming: Brain-controlled games • • Education and Training • • Military and Defense
  • 8.
    BCI in Medicine •• Assistive technologies for ALS, stroke patients • • Neurorehabilitation • • Control of robotic limbs and wheelchairs
  • 9.
    BCI in Gamingand Entertainment • • Immersive gaming experiences • • Mind-controlled devices and virtual environments • • Enhancing user interaction
  • 10.
    Challenges in BCI •• Signal noise and accuracy • • High cost of equipment • • Invasiveness and ethical concerns • • User training and adaptability
  • 11.
    Ethical Considerations • •Privacy of brain data • • Consent and autonomy • • Potential for misuse (e.g., surveillance) • • Equity and accessibility
  • 12.
    Recent Advances inBCI • • Elon Musk's Neuralink • • AI-powered signal processing • • Wireless and wearable BCI devices
  • 13.
    Future of BCI •• Integration with AI and IoT • • Enhanced human-computer interaction • • Potential for cognitive enhancement
  • 14.
    BCI Research andDevelopment • • Major research institutions and companies • • Ongoing clinical trials • • Interdisciplinary collaboration
  • 15.
    Conclusion & Q&A •BCI is revolutionizing the way humans interact with technology. • Promises major advancements in healthcare, communication, and beyond. • Questions?