Brain-to-Machine Interfaces Image
Price
Reveal Price
Publish Date
3Q 2015
Code
AN-1920
Research Type
Technology Analysis Report
Pages
27

Brain-to-Machine Interfaces

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Table of Contents Related Research

Brain-to-Machine Interfaces (BMI) are technologies that allow a human to control a computer, peripheral or other electronic machine with only their thoughts. It is commonly done using electrodes to detect electrical signals in the brain that are sent to the machine. The machine then translates the electrical signals into data, which is used to control a computer or device linked to the machine.

Traditionally the focus of medical implants, the BMI market is evolving with a variety of consumer-oriented products for health & wellness, stress management, human behavior analysis, and gaming control.

This study examines technology innovation in neuroscience and how it is being coupled with mobile device advancements to make progress in clinical trials, deliver consumer insights, and commercialize product solutions.

Table of Contents

  • 1. BRAIN-TO-MACHINE COMMUNICATIONS EMERGES FROM CLINICAL TRIALS
    • 1.1. Historical Timeline of Select BMI Milestones
    • 1.2. How the Brain Turns Thoughts into Action
    • 1.3. Basic BMI Architecture
    • 1.4. Interface Choices
      • 1.4.1. Invasive BMIs
      • 1.4.2. Partially Invasive
      • 1.4.3. Non-Invasive
    • 1.5. Sizing the Opportunity for Brain-to-Machine Interfaces
  • 2. CONSUMER AND MEDICAL MARKET APPLICATIONS FOR BMI
    • 2.1. Application Ideas
    • 2.2. Consumer Applications for BMI
      • 2.2.1. Educating the Consumer Audience
      • 2.2.2. Health and Wellness
      • 2.2.3. Gaming and Entertainment
      • 2.2.4. Driving and Vehicles
    • 2.3. Overcoming Negative Perceptions: EEG Biosensors
    • 2.4. Consumer Market Forecast
    • 2.5. Regional Market Variations for BMI
    • 2.6. Moving BMI from Activity-centric Use Cases to 24x7 Transparent Data Collection
    • 2.7. BMI Goals and Objectives for Medical Device Makers
    • 2.8. Medical BMI Application Forecast
    • 2.9. Challenges for the BMI Medical Device Community Approach
  • 3. CLINICAL APPLICATIONS LEAD BMI WHILE CONSUMER SEEKS AN AUDIENCE
    • 3.1. Blackrock Microsystems, LLC (SLC)
    • 3.2. Emotiv, Inc.
    • 3.3. InteraXon
    • 3.4. Mindball
    • 3.5. NeuroSky
    • 3.6. OpenBCI

Tables

  1. Brain-to-Machine Interface Unit Shipments by Region, World Market: Forecast 2015 to 2020
  2. Brain-to-Machine Interface Revenue by Region, World Market: Forecast 2015 to 2020
  3. Brain-to-Machine Interface Average Selling Price, World Market: Forecast 2015 to 2020
  4. Consumer Brain-to-Machine Interface Unit Shipments by Region, World Market: Forecast 2015 to 2020
  5. Consumer Revenues Brain-to-Machine Interface Revenues by Region, World Market: Forecast 2015 to 2020
  6. Medical Brain-to-Machine Interface Unit Shipments by Region, World Market: Forecast 2015 to 2020
  7. Medical Brain-to-Machine Interface Revenue by Region, World Market: Forecast 2015 to 2020
  8. Comparison of Consumer BMI Products

Figures

  1. Block Diagram of a BMI System
  2. Implementing Sensory BMI Feedback via Software
  3. BMI Technology Hierarchy
  4. Electrode Placement for EEG
  5. Basic Principles of MEG
  6. Functional MRI
  7. Star Wars Force Trainer BMI Toy
  8. Motorcycle Helmet with Integrated Sensors
  9. Neural Prosthetic Device Yields Fluid Motions by Robotic Arm
  10. Emotiv EPOC Headgear
  11. InteraXon Muse Brain Sensing Headband
  12. Mindball Game Table
  13. NeuroSky CardioChip ECG Biosensor
  14. NeuroSky MindWave Mobile Headset
  15. Open BCI 32-Bit Board