Brain computer interface -smart living enviroment
-
Upload
anu-n-raj -
Category
Engineering
-
view
158 -
download
2
description
Transcript of Brain computer interface -smart living enviroment
![Page 1: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/1.jpg)
BRAIN COMPUTER INTERFACE:BASED SMART LIVING ENVIROMENTAL AUTO-
ADJUSTMENT CONTROL IN UNIVERSAL PLUG AND PLAY HOME NETWORKING
PRESENTED BYANU .N.RAJ
S7 ITROLL : 31
GUIDE: IERIN BABU
![Page 2: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/2.jpg)
2
![Page 3: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/3.jpg)
INDRODUCTION
• Biological computer
• Analogues to cpu of a computer
• Neurons :- eclectically excitable cells in brain
• Electroencheplaogram -:detect brain voltage
EEG electrodes NEURON 3
![Page 4: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/4.jpg)
• A brain–computer interface (BCI) -
is a communication system that translates brain-activity into commands for a computer or other devices
• Based on the advantages of –
BCI technique ,this system has integrated it with the environmental control systems in a smart house
4
![Page 5: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/5.jpg)
EXISTING SYSTEM
• P300 based BCI system
• Result of decision making
• Used in real time BCI games Eg:-Mind Balance
5
![Page 6: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/6.jpg)
EXISTING SYSTEM …..
• Motor imagery BCI
• EEG of motor movements Eg:-Graz BCI
6
![Page 7: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/7.jpg)
DRAWBACKS
• Need active metal command.
• Do not adapt to cognitive state.
• Bulky and expensive.
• High power conception.
• Limit flexibility , portability and practicability.
• Messy cables are used.
• lot’s of electrode’s are used.
7
![Page 8: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/8.jpg)
PROPOSED SYSTEM
• A brain computer interface –based smart living environment auto adjustment control system (BSLEACS)
• Cost effective, extendable.
• Based on cognitive state.
• Single EEG channel
• Portable signal aqustisition module
• Bluetooth is used.
8
![Page 9: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/9.jpg)
WORKING
• The system architecture of BSLEACS consists of 3modules:
1)Wireless physiological signal acquisition module
2)Embedded signal processing module
3)Host system
9
![Page 10: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/10.jpg)
10
![Page 11: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/11.jpg)
WORKING contin……..
1)Wireless physiological signal acquisition module
• It consist of:-
Front –end amplifier
Microprocessor
Wireless transmission unit
• Amplifier unit:- preamplifier , band pass filter , ADC.
• ADC input stored in microprocessor.
• Power line interference is removed .
• Bluetooth is used in wireless module.
11
![Page 12: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/12.jpg)
• Li-ion battery is used .
• Work for 33 hours
EEG amplifier& acqutisition
Microprocessorunit
Wireless transmission
Blue tooth
12
![Page 13: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/13.jpg)
2)EMBEDDED SIGNAL PROCESSING UNIT
• Real time processing of raw EEG
• Perform the real time cognitive state detection algorithm
• Black fin processor is used.
• UART interface is used.
RAW EEG 13
![Page 14: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/14.jpg)
Wireless unit
UART
Signal processing
RF module /Ethernet
Signal processing module Back fin processor
• Ethernet is used to transfer the command to host system.
14
![Page 15: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/15.jpg)
How to decode the EEG signal?
• Theta wave(4-7Hz) and alpha wave( 8-11Hz) are used.
• Reflect the cognitive state.
• EEG of occipital midline is used.
• Discriminating power and high correlation with cognitive
state.
• State of alert to drowsy is detected by increase in alpha
and theta rhythm
15
![Page 16: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/16.jpg)
• User’s instantaneous cognitive state is not used.
• Cause discomfort to user.
• Trend of user’s cognitive state is used.
• Average of estimated cognitive state ,previous 10
min .
16
![Page 17: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/17.jpg)
Low pass filter
Extract alpha and theta
Build alert model of alpha
Build alert model for theta
Calculate MDA
Calculate MDT
Calculate MDA
Build alert modelCalculate deviation from alert model
RAW EEG
output
How Algorithm works'?
17
![Page 18: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/18.jpg)
Flow chart explanation
• High frequency noise removed by filter.
• FFT is used to extract alpha and theta rhythm.
• Alert state is modeled.
• Mahalanobis distance from alert model.
• Drowsy subjects mahalanobis distance increases.
18
![Page 19: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/19.jpg)
3)Host system and environment controller
• Processing unit sent command via Ethernet.
• PLC is used for controlling device .
• Ethernet hand over data packet to PLC.
• Control the environment control systems.
19
![Page 20: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/20.jpg)
20
![Page 21: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/21.jpg)
Application in environment control system
• During exercise and working ,alert state
• Alert state ,day lamp is on
• Relaxing and sleeping ,drowsy state
• Drowsy state, day lamp is off
Alert state Drowsy state 21
![Page 22: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/22.jpg)
Advantages
BCI system Mind balance Graz BCI BSLEACS
EEG signal P300 wave Motor imagery Alpha and theta
Channels 2 3 1
Transmission Cable Cable Bluetooth
Power supply power line power line Li-ion battery
Back end signal processing unit
Personal computer Personal computer Embedded signal processing unit
Control mode Active mental command
Active mental command
Adaptation
22
![Page 23: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/23.jpg)
Limitation
• Ethical issue prevent its development
• EEG signal is prone to inference.
• There are many chemical process ,can’t be captured.
• Too costly to set up .
• Cannot be used for brain disease people.
23
![Page 24: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/24.jpg)
Future scope
• Bionic eye
• Transfer the hearing impulse to brain.
• Robotic assistance to old and disables
• Real time gaming
24
![Page 25: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/25.jpg)
Conclusion
• BCI is a high potential idea with high impact on the
society .
• Future developments enable ,complex performance .
• Researchers hope that every thing will be mind
controlled in future.
25
![Page 26: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/26.jpg)
References
• www.howstuffswork.com
• www.ieeexplore.com
• www.wekipedia.com• Brain-Computer Interfaces Using Electrocorticographic Signals
Gerwin Schalk, Member, IEEE, and Eric C. Leuthardt,2011
26
![Page 27: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/27.jpg)
27
![Page 28: Brain computer interface -smart living enviroment](https://reader033.fdocuments.in/reader033/viewer/2022042715/559a2c5c1a28abf4758b4707/html5/thumbnails/28.jpg)
THANK YOU !
28