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Emotiv Lifescience

A bioinformatics company that's working on identifying biomarkers for mental and other neurological
by

Nick Wasko

on 13 June 2016

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Transcript of Emotiv Lifescience

Tanya Rogovyk & Noah Suzuki
EMOTIV:
DIFFICULTIES
The Emotiv EPOC:
Brain-Computer Interface
Communication
With Technology
With Humans
requires a given command
IS LIMITED
takes conscious and direct form
(body language, facial expressions, emotions)
IS COMPLEX
explicit and implicit forms
GOAL:
Design a computer
technology that understands
statements
facial expressions
emotional experiences
HOW?
Interpret brain waves
Neuronal activity produces ionic current flows
EEG (electroencephalagraphy) detects fluctuations in the voltage
Impulse source difficult to identify
WHY?
Over 100,000 miles of combined axon length
each individual has differently folded cortical regions
Today's Typical EEG Device
Requirements: hairnet of sensors, conductive gel/paste, scalp preparation

Application: specialized technician needed

Cost: over $10,000 each
Requirements: wireless headset

Application: signal settles within minutes

Cost: only $300 each
Brain-Computer Interface (BCI) neuroheadset
Detection Algorithm: unfolds the cortex to help map the signals closer to their source
High temporal resolution
Poor spatial resolution
High-fidelity 14-channel EEG acquisition system
16 saline-sensor modules
How It Works
What Can It Measure?
What Can It Measure?
What Can It Measure?
1) Expressive emotions
2) Affective emotions
3) Cognitive actions
4:08-7:35
smile
laugh
clench
smirk
look left/right
blink individual eye
raise/furrow individual eyebrows
Reads EMG signals (detects facial muscle activity)
very fast detections (10ms)
suitable for fast-paced games
requires training
excitement (instantaneous and long-term)
engagement/boredom
frustration
Reads EMG and EEG signals
Excitement physiological detections of arousal
(pupil dilation, eye widening, sweat gland stimulation, increased muscle tension)
Engagement beta wave and alpha wave detection
no training required
6 directions (left, right, up, down, forward, zoom)
6 rotations (clockwise, counter-clockwise, turn left/right, sway backward/forward)
disappear
Reads EEG signals
personalized neuronal signature corresponds to each action
requires traning
APPLICATION
OF THE TECHNOLOGY
Study:
Jaime Gomez-Gil, University of Valladolid, Spain (2011)
Used the Emotiv EPOC headset technology to steer a tractor
Detected EMG signals of 4 trained muscle activities
eyes looking right and jaw opened
eyes looking right and jaw closed
eyes looking left and jaw opened
eyes looking left and jaw closed
EMG detection
Emotiv System software
complicated because of joint-processing
Several control types
50 m straight line
10 m step
circumference with 15 m radius
Tested 3 trajectories
Manual guidance
Human-computer interface (HMI) guidance
Autonomous GPS guidance
Tested 3 conditions
}
Most to least accurate?
1
2
Can you think of other
applications of this technology?
Cost-Effective
Smart House
Medical Breakthrough
Enhanced
Gaming Experience
virtual avatars
in-game object control
excited/engaged state affects background, music, and level difficulty
control lighting
curtain opening/closing
control any electrical outlet
Realistic because any home can be converted
No need for new infrastructure
electric wheelchair control
"“By 2017, like all technology, the Emotiv EPOC or other similar technologies will probably get smaller. So I can imagine it will have completely dry sensors, and I’d be wearing it all the time, perhaps embedded into a baseball cap, and with a finer range of thought patterns detected and connected directly to my mobile phone – allowing me to interact with the world just by thinking particular thoughts.”
–Kevin Brown,
IBM Software Group’s Emerging Technologies
9:30
Full transcript