Impact of BCI in Consumer Applications

Impact of BCI in Consumer Applications

How Will You Control Your Smartphones in the Future?

Jabez Mendelson

Technical Insights

September 24, 2014

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Jabez Mendelson

Functional Expertise

� Market research and finance expertise, which include experience in various industries. Particular expertise in:

- Business Intelligence

- Financial Services

- Information Technology

Industry Expertise

� Experience base covering broad range of sectors, adept in understanding customer needs and leveraging long-

standing working relationships

- Automobile

- Food and Beverages

- Financial Services

- Computer Networks

What I bring to the Team

� In-depth technical knowledge coupled with functional expertise

� Adept in the latest business intelligence and risk management tools

� Strong analytical skills

� In depth marketing and finance domain knowledge

Career Highlights

� Before Frost and Sullivan, worked and interned with various organizations like:

- Krupa and Co, Chennai

- Hyundai Motor India Limited, Chennai

- United Spirits Limited, Chennai

Education

� Master of Business Administration from Anna University, Chennai, India

� Bachelor of Engineering (Electronics & Communication) from Anna University, Chennai, India

Jabez MendelsonResearch Analyst

Technical Insights

Frost & SullivanGlobalChennai

Place photo hereShadow Background

for effect

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Agenda

Current User Interfaces in Consumer Applications

Brain Computer Interfacing – Enabling next-gen interfacing

Key enabling technologies of BCI

Year of Impact

Drivers and Restraints for adoption of BCI in consumer applications

Funding Scenario

Notable Developments in BCI for consumer applications

Potential Applications

Technology Convergence Scenario

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User Interfaces Enabling Smart Applications Today

Gesture Recognition

3D User Interface

Touch Technology

Voice Recognition

� Identification and recognition of human gestures

� Interpretation of the gestures into algorithms

� Interaction with the systemthough multi-touch capacity.

� The input is given by thetouch of the screen which isthen interpreted intoalgorithms

� Recognition of the voice of the speaker and converting them into text

� Interpretation of the text into algorithms

� Applications include smartphones, consumer applications, automotive, and aerospace.

� Three dimensional interaction

� Interaction with the system in a 3D environment

� Virtual and augmented reality interaction

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Brain – Computer Interfacing (BCI)The ultimate human computer interaction

Sense

Process

Control

� BCI or Machine-mind interaction is the future interaction interface in consumer

applications

� BCI is the direct communication between the human mind and the machine

� Bi-directional process (human mind�device control, device�human mind control)Ove

rvie

w

BCI

BCI Methodologies

InvasivePartially Invasive

Non-Invasive

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Key Enabling Technologies of BCI

EEG

• Electroencephalography (EEG)

• Extremely non-invasive

• Records electrical activities directly from the

brain

� Portable

� Low hardware

cost

� Low set up cost

� High temporal

resolution

• Highly susceptible

to external noise

• Poor spatial

resolution

• Corruption of data

due to artifacts

fMRI

• Functional Magnetic Resonance Imaging

(fMRI)

• Non-invasive

• Uses MRI technology

• Measures the activates in the brain by the

changes associated in the flow of blood.

� High spatial

resolution

� Better temporal

resolution

� Large coverage

• Users are subjected

to high noise

• Affects implanted

devices

• Heats up the body

MEG

• Magnetoencephalography (MEG)

• Non-invasive

• Magnetometers are used to record the

magnetic fields produced by the electrical

activities of the brain

� Better spatial

resolution

� More accurate as

activities in the

brain are localized

• Expensive

Hardware

• High set up cost

• Not as good as fMRI

in localizing

NIRS

• Near-infrared spectroscopy (NIRS).

• Non-invasive

• Measures the changes in the cerebral blood

flow.

• Partial replacement for fMRI techniques

� High spatial

resolution.

� Resistance to

external noise

� Portable

� Infant friendly

• Cortical tissues of

the brain alone can

be scanned

Key Technologies

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Supporting Technologies for BCI

Wireless Communication

�Crucial for mobile applications

�Bluetooth is a promising technology to enable BCI in smartphones and other consumer applications

Processors

�Provides the required high performance processing capability

�Energy efficiency and high performance are key requirements for BCI in consumer applications

Robotics

�Using brain signals to control motors

�Robots can provide high degree of freedom in creating effective devices

Software Algorithms

�Software Development Kit (SDK)withcomplex algorithms to interpret brain signals

�Creates new avenues for the development of new applications while using the brain signals as the input

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Year of Impact: 2020 – High Adoption Potential

2014

2025

2014

2015

2017

2020

2014� High interest observed towards adoption of BCI

across a number of consumer applications

� Increasing trend in R&D efforts

� Potential to serve as an alternative to conventionaluser interfaces in smartphones and otherconsumer applications in the coming decade

Organizations

� Emotiv

� Neurosky

� Mindgames

� Interaxon

� BitbrainTechnologies

� Nielsen’s Neurofocus

� Gain Play Studio

� BCInet

2020 and Beyond� Increased interest of BCI in gaming, mobile

applications and also adoption of BCI in developingsmart homes.

� Wireless and light weighted BCI headsets will bethe key enabler of human-machine interfacing .

� Immersive gaming along with the development ofother technologies such as Augmented reality canopen up new applications such as ABCI(Augmented BCI).

� Interest in initiating “telepathic interaction”enabling human technology interaction.

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Factors Influencing and Encumbering the Adoption of BCI in Consumer Applications Today

Non-Invasive Technologies

Improved user

experience

Emergence of new

technologies

Inconvenience to users

Cost

Technological challenges

2014 2020 2025

Drivers

2014 2020 2025

Restraints

High Medium Low

Impact

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Funding Scenario

Governmental Agencies

Funding / Grant

Contract

Angel

Investors/ Seed

Funding

Angel

Investors/ Seed

Funding

Venture Capital

Agencies

Venture Capital

Agencies

Funding/ Strategic

Investment

Partnership

Private Sector

Funding

Crowd funding

� VC funding of BCI companies indicates the commercial

potential of the technology for mass market applications

� Government agencies in USA and Europe are actively funding

BCI projects

� Most of the funding is aimed at improving the quality of life of

disabled patients

� Interest of consumer applications is growing. Crowdfunding is

an important platform on which companies are showcasing

there technology and garnering end consumer interest

Emotiv, USA �$1.6 millionNeurosky, USA�$12 millionInteraxon, Canada�$0.3 million

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Notable Developments in BCI for Consumer Applications

Neuroheadsets

Emotiv

� Emotiv, a US based company develops

EEG based neuroheadsets and

software development kit for BCI

enabling applications

� The neuroheadsets can find application

in fitness trackers, healthcare and

consumer applications

Neurosky

� Neurosky, a US based company develops EEG

based range of bio-sensor solutions including

neuroheadsets and software development kit.

� The solutions developed by the company can find

application in gaming, immersive gaming,

education, automotive and healthcare.

Neurogaming

Mindgames

� Mindgames, an Iceland based company develops

neurogames which are mind-controlled games

for smart phones.

� Develops mind-controlled games for iOS devices

with the help of Neurosky MindWave headsets

Interaxon� Interaxon, a Canadian based

company develops EEG based

brain-sensing headbands and

software development kit for BCI

enabling applications

GainPlay

StudioBCInet

Neuromarketing

Neurofocus

BitBrain

Technologies

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Future Impact of BCI technology on Consumer Applications

2015 20252020

Impact

Low

Medium

High

Impact of BCI aiding products Across Consumer Applications

Gaming

Immersive

GamingAugmented

RealitySmartphones

Neuromarketing RoboticsConnected

Home

Gaming Immersive

Gaming

Augmented

RealityMobile

device apps

NeuromarketingConnected

Home

Smartphones

& Tablets

Augmented

Reality

Toys

Unmanned Vehicles

Thought Controlled Robotics

Brain– to– Brain Communication

Thought Controlled

Smart Devices

BCI Games and apps

Portable Headsets

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Next gen Smartphones -The Future of Thought Controlled Devices

Development and

commercialization of the

next generation smart device

and its applications can be

expected around 2019-2020.

Year of Impact – 2019-2020

2013 20202014 2016 2017 2018 20192015

Next generation smart device will provide,

• Portability and customization capability based on specific end user needs

• Thought-controlled texting and calling with Increased accuracy

• Convenient usage for long hours due to the light weight property of the device.

Industry Initiatives

• Emotiv, an US based company

is developing their new

generation BCI headsets

named Emotiv Insight which

can accurately receive the

brainwave signals.

• Various companies and

universities globally are

working towards the

development of brainwave

sensing headsets which can

be used to control the

entertainment devices, play

games and even control the

environment of the home with

the mind.

Technology Convergence Scenario: Next generation Brainwave Sensing Smart devices

Light weight

composites

Flexible Electronics

Next gen Smart

devices

Brain-ComputerInterface

Wearable Electronics

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For Additional Information

Jabez Mendelson

Research Analyst

Technical Insights

+91-(0)-44-66814118

[email protected]

Kasthuri Jagadeesan

Program Manager

Technical Insights

+44-(0)-1865-398-625

[email protected]

Sumit Kumar Pal

Senior Research Analyst,

Technical Insights,

+ 91-(0)-44-66814001 [email protected]