This document summarizes a brain-computer interface starter kit that uses electroencephalography (EEG) to measure brain activity and translate it into signals that can control devices. It describes applications like controlling a mechanical arm, wheelchair, or lights for a dentist hands-free. The kit places electrodes on the head according to the 10-20 system to detect different brain waves like alpha, beta, theta, and delta waves. The mindwave mobile sensor clips onto the ear and detects mental states like attention, meditation, and eye blinks to control devices wirelessly through Bluetooth or a Zigbee module like a mind-controlled robot or fan speed.

1. Brain Wave Starter Kit

2. BCI-Brain Computer Interface

3. Applications Using BCI
• Produce a two dimensional
Electroencephalogram (EEG) controller for
widespread application
– Mechanical arm
– Hands free light for Dentist
– Wheel Chair
Adapted from www.toysrus.com Adapted from www.fotosearch.com/bthumb http://blogs.static.mentalfloss.com

4. Project Overview
http://www.ipmc.cnrs.fr www2.latech.edu
Measure
Brain Activity
(EEG)
Translate into
signal usable by a
device (wheelchair,
robotic arm, etc)

5. DATA ACQUISITON

6. ELECTRODE PLACEMENT
Letter for region
F - Frontal Lobe
T - Temporal Lobe
C - Center
O - Occipital Lobe
Number for exact position
Odd numbers - left
Even numbers - right
ELECTRODE PLACEMENT FOR 10-20 SYSTEM [spaced apart 10-20%]

7. BRAIN WAVES
Type Frequency Location Use
Delta <4 Hz everywhere occur during sleep, coma
Theta 4-7 Hz temporal and
parietal
correlated with emotional stress
(frustration & disappointment)
Alpha 8-12 Hz occipital and parietal reduce amplitude with sensory
stimulation or mental imagery
Beta 12-36 Hz parietal and frontal can increase amplitude during
intense mental activity
Mu 9-11 Hz frontal (motor
cortex)
diminishes with movement or
intention of movement
Lambda sharp,
jagged
occipital correlated with visual attention

8. MINDWAVE MOBILE
BRAIN SENSOR
EAR CLIP
BATTERY
TGAM MODULE

9. HEADSET PLACEMENT

10. FEATURES
• Single Sensor on FP1
• Can detect multiple mental states
simultaneously
• Reference electrode on Ear clip to remove
ambient noises
• IP involves noise cancellation and signal
amplification
• Provides EMG feature for Eye Blink detection

11. SPECIFICATIONS
• Bluetooth ™ Wireless communication
• Passive Dry Sensor EEG
• Single AAA battery
• 10 Hours Run Time
eSense Brainwave Patterns:
• Attention
• Meditation
• Eye Blink
• Frequency Bands: 0.5 to 50Hz

12. THINKGEAR
•TGAM MODULE offers e-Sense technology
•Outputs Attention, Meditation and Physical eye blinks from raw EEG data
•2.79cm x 1.52cm x 0.25cm, weighs 130mg
•Communicates through UART interface at baudrate 1200, 9600 or 57600

13. SUPPORTED PLATFORMS

14. MIND-BOT
SPECIFICATIONS:
• Micro Controller : 8051
• ZIGBEE MODULE-Frequency : 2.3 Ghz
• Attention level < 65 ------ STOP
• Attention level > 65 ------ START
• Baud rates available at 1200, 9600 ,57600 or
115200

15. Project Overview
http://www.ipmc.cnrs.fr
www2.latech.edu
Measure
Brain Activity
(EEG)
Translate into
signal usable by a
device (wheelchair,
robotic arm, etc)

16. NeuroSky
• NeuroSky chip output
– DC Motor Control
• Pulse width Modulation
Fan HighFan MediumFan Off

17. Neurosky
• Increase Brain Activity
• Increase Pulse Width
Fan High
http://www.ipmc.cnrs.fr

18. MINDBOT
BLUETOOT
H
UART
UART
ZIGBEE MODULE
SENSES ATTENTION
LEVEL
BLUETOOTH RFCOMM
SERIAL PORT
ZIGBEE MODULE
8051 CONTROLLER WHEEL CONTROL
BOT
uses ‘SERIAL’ function
TX COMMAND
HEADSET
RX COMMAND
CONTROLS MOTOR BASED ON COMMAND

19. APPLICATIONS-Continued..
• Portable medical applications
• Motor speed control
• Drowsy driver detection
• Light intensity control
• Music play based on mind state
• Mind gaming
• Sports [ready zone analyser]
•