ﺔﻴﺒﻭﺴﺎﺤﻟﺍ ﻍﺎﻤﺩﻟﺍ ﺔﻬﺠﺍﻭ ﺔﻁﺴﺍﻭﺒ ﻡﻜﺤﺘﻟﺍﻭ لﺎﺼﺘﻹﺍ
ﺔﺒﻟﺎﻁﻟﺍ
ﻱﺭﻌﺸﺃ ﻥﻴﺩﻟﺍ ﺀﺎﻬﺒ ﺏﺎﺤﺭ ﺹﻠﺨﺘﺴﻤﻟﺍ
ﻍﺎﻤﺩﻟﺍ لﻌﻓ ﺓﺩﺭ ﺫﺨﺄﺒ ﻡﻭﻘﺘ ﻲﺘﻟﺍ ﺔﻤﻅﻨﻷﺍﻭ ﺙﻭﺤﺒﻟﺍ ﻥﻤ ﺩﻴﺩﻌﻟﺍ ﺕﺭﻬﻅ ﺔﻘﺒﺎﺴﻟﺍ ﺕﺍﻭﻨﺴ ﺕﺴﻟﺍ لﻼﺨ
ﻥﻭﻨﺎﻌﻴ ﻥﻴﺫﻟﺍ ﺹﺎﺨﺸﻷﺍ ﺓﺩﻋﺎﺴﻤﺒ ﻡﻭﻘﺘ ﺞﻤﺍﺭﺒﻭ ﺔﻤﻅﻨﺃ ﻲﻓ ﺎﻬﻌﻀﻭﻭ ﻟﺍ ﺔﺒﺎﺼﺇ ﺏﺒﺴﺒ لﻠﺸﻟﺍ ﻥﻤ
لﺒﺤ
ﺀﺎﻨﺜﺃ ﺔﺌﻁﺎﺨ ﺔﻜﺭﺤﺒ ﻡﺎﻴﻘﻟﺍ ﻭﺃ ﻁﻭﻘﺴﻟﺍ ﻭﺃ ﻩﺭﺎﻴﺴ ﺙﺩﺎﺤ ﻲﻓ ﻉﻭﻗﻭﻟﺍ ﺎﻬﻨﻤ ﺏﺎﺒﺴﺃ ﺓﺩﻌﻟ ﺔﺠﻴﺘﻨ ﻲﻜﻭﺸﻟﺍ ﺔﻴﻀﺎﻴﺭﻟﺍ ﻥﻴﺭﺎﻤﺘﻟﺎﺒ ﻡﺎﻴﻘﻟﺍ .
ﺩﻤﺘﻌﺘﻻ ﻲﺘﻟﺍﻭ ﺕﺍﺭﻭﻁﺘﻟﺍ ﻩﺫﻫ ﺩﺤﺃ ﻥﻤ ﻲﻫ ﺔﻴﺒﻭﺴﺎﺤﻟﺍ ﻍﺎﻤﺩﻟﺍ ﺔﻬﺠﺍﻭ
ﺭﺨﻷﺍ ﺔﻴﺒﻭﺴﺎﺤﻟﺍ ﺹﺎﺨﺸﻷﺍ ﺔﻬﺠﺍﻭ ﺽﻴﻘﻨ ﻰﻠﻋ ﺎﻬﻤﺍﺩﺨﺘﺴﺍ ﻲﻓ ﻡﺴﺠﻟﺍ ﻭﺃ ﺕﻼﻀﻌﻟﺍ ﺔﻜﺭﺤ ﻰﻠﻋ ﻯ
ﻍﺎﻤﺩﻟﺍ ﺕﺎﻁﺎﺸﻨ ﻥﻤ ﺔﺠﺘﺎﻨﻟﺍ ﺕﺍﺭﺎﺸﻹﺍ ﺱﺎﻴﻗﻭ ﺫﺨﺄﺒ ﺩﻤﺘﻌﺘ ﺎﻤﻨﻴﺒ .
ﺔﻴﺒﻭﺴﺎﺤﻟﺍ ﻍﺎﻤﺩﻟﺍ ﺔﻬﺠﺍﻭ ﻥﻴﺒﺎﻤ ﺡﻭﺍﺭﺘﻴ لﺩﻌﻤﺒ ﺄﻁﺨﻠﻟ ﺔﻀﺭﻋ ﻲﻫ ﺔﻴﻟﺎﺤﻟﺍ
١٠ % ﻭ ٣٠ % لﺩﻌﻤﻭ
ﻥﻴﺒﺎﻤ ﺡﻭﺍﺭﺘﻴ ﺕﺍﺭﺎﺸﻻﺍ ﻩﺫﻬﻟ لﻘﻨ ١٠
- bit/min ٢٥ ﺦﻤﻟﺍ ﺕﺍﺭﺎﺸﺇ ﺱﺎﻴﻘﻟ ﺏﻴﻟﺎﺴﺃ ﺓﺩﻋ ﻡﺍﺩﺨﺘﺴﺎﺒ
.
ﺚﺤﺒﻟا اﺬه لﻼﺧ ﻦﻣ ﺳ
ﺢﻴﺿﻮﺗ ﻢﺘﻴ ﻪﺒﻧاﻮﺟ ﻊﻴﻤﺠﺑ ﺔﻴﺑﻮﺳﺎﺤﻟا غﺎﻣﺪﻟا ﺔﻬﺟاو مﺎﻈﻧ
ﺔﻴﻔﻴﻜ ﺽﺭﻋﻭ
ﻡﺍﺩﺨﺘﺴﺈﺒ ﻍﺎﻤﺩﻟﺍ ﺕﺍﺭﺎﺸﺇ لﻴﺠﺴﺘ ﺔﻴﻨﺎﻜﻤﺇ ﺏﻴﻟﺎﺴﻻﺍ ﻑﻠﺘﺨﻤ
ﻩﺭﺎﺜﻹﺍ ﺔﺌﻴﻫ ﻡﺍﺩﺨﺘﺴﺍ ﺏﺒﺴ ﺢﻴﻀﻭﺘﻭ
ﻪﻠﻤﺘﺤﻤﻟﺍ ﺔﺘﺒﺎﺜﻟﺍ ﻪﻴﺌﺭﻤﻟﺍ SSVEP
ﻲﻓ ﺙﺤﺒﻟﺍ ﺍﺫﻫ ﻯﺭﺨﻻﺍ ﺏﻴﻟﺎﺴﻻﺍ ﻥﻤ ﻻﺩﺒ
. ﻴ لﻼﺨ ﻥﻤ ﺽﺭﻌ
ﻰﻠﻋ ﺓﺩﻤﺘﻌﻤﻟﺍ ﻑﺘﺎﻬﻟﺍ ﺢﻴﺘﺎﻔﻤ ﺔﺤﻭﻟ ﻡﺎﻅﻨ ﺙﺤﺒﻟﺍ ﺍﺫﻫ SSVEP
ﻲﺘﻟﺍ ﺕﺎﻨﺎﻴﺒﻟﺍ ﺓﺩﻋﺎﻘﺒ ﻪﻠﺼﺘﻤﻟﺍﻭ
ﺔﻴﻔﻴﻜﻭ ﻡﻗﺭﻟﺎﺒ لﺎﺼﺘﻻﺍ ﻡﺘ ﻩﺭﻤ لﻭﺃ ﺩﻨﻋ ﻡﺩﺨﺘﺴﻤﻟﺍ لﺒﻗ ﻥﻤ ﺕﻠﺨﺩﺃ ﻲﺘﻟﺍ ﻑﺘﺍﻭﻬﻟﺍ ﻡﺎﻗﺭﺃ ﻰﻠﻋ ﻱﻭﺘﺤﺘ لﺎﺼﺘﻹﺎﺒ ﻡﺩﺨﺘﺴﻤﻟﺍ ﺔﺒﻏﺭ ﺩﻨﻋ ﺕﺎﻨﺎﻴﺒﻟﺍ ﺓﺩﻋﺎﻗ ﻲﻓ ﺔﻨﺯﺨﻤﻟﺍ ﻡﺎﻗﺭﻷﺍ ﻩﺫﻫ ﻉﺎﺠﺭﺘﺴﺍ ﻲﻓ ﻡﻗﺭﻟﺍ ﺱﻔﻨﺒ
ﺔﻴﻨﻘﺘ ﻡﺍﺩﺨﺘﺴﺎﺒ لﻗﻷﺍ ﻰﻠﻋ ﻑﺘﺎﻬﻟﺍ ﻡﻗﺭ ﻥﻤ ﻡﺎﻗﺭﺃ ﺙﻼﺜ لﻭﺃ ﻰﻠﻋ ﹰﺍﺩﺎﻤﺘﻋﺍ ﻪﻘﺤﻼﻟﺍ ﺕﺍﺭﻤﻟﺍ Dynamic Programming ﺹﺨﻷﺎﺒﻭ
Longest Common Subsequence ﺀﺍﺭﺠﺍ ﺩﻌﺒ
ﻪﻴﻤﺯﺭﺍﻭﺨﻟﺍ ﻩﺫﻫ ﻰﻠﻋ ﺕﻼﻴﺩﻌﺘﻟﺍ ﺩﻌﺒ ﺩﺍﺭﻤﻟﺍ ﻑﺘﺎﻬﻟﺍ ﻡﻗﺭ ﻰﻟﺇ لﻭﺼﻭﻟﺍ ﻡﺩﺨﺘﺴﻤﻟﺍ ﻰﻠﻋ لﻬﺴﻴ ﺎﻤﻤ
لﺎﺼﺘﻻﺍ ﻪﻘﺒﺎﺴﻟﺍ ﺕﺎﺴﺍﺭﺩﻟﺎﺒ ﺔﻨﺭﺎﻘﻤ ﺕﺍﺭﺎﻴﺘﺨﻻﺍ ﻥﻤ لﻗﺃ ﺩﺩﻌﺒﻭ ﻉﺭﺴﺃ ﺔﻘﻴﺭﻁﺒ ﻪﺒ
.
Brain Computer Interface for Communication and Control
Presented By
Rehab Bahauldeen Ashary
ABSTRACT
The last six years have seen a fast growth in research and techniques in the development of detection in human brain response, analysis of human brain activity, translation of brain state into action and putting these techniques to appropriate uses to help paralyzed people with spinal cord injury causes because of several reasons such as motor vehicle accident, falls and sports injuries.
Brain Computer Interface (BCI) is a communication and control mechanism that has a significant difference to other studies in Human Computer Interface (HCI) as it does not rely on any kind of muscular response to send a message to the external world.
Current BCIs are error prone and slow with error rates of 10 to 30% and have transfer rates of 10-25 bits/min using different types of non-invasive methods for recording brain signals.
This thesis defines BCI technology and will display how brain signals can be recorded using different methods and will show the reason for choosing Steady State Visual Evoked Potential (SSVEP) rather than other methods.
This thesis will also focus on the development of virtual telephone keypad based on SSVEP which is linked to the user telephone number file that is created according to the user selection history. Dynamic programming technique with specifically modified Longest Common Subsequence (LCS) algorithm is also used in this thesis in order to compare the user selection and all records in the file from at least the first three digits of the desired phone number and display matching telephone numbers of the user. Saving user selection history in the file and displaying a matching list of the user from at least three digits help the user to easily and in a quicker way reach his/her desired number faster with minimal number of selections as compared with the previous research.
Thesis Supervisors
Dr. Mahmoud I. Kamel Dr. Ibraheem A. Bidewi
Chairman of CS Dept.
Dr. Omar A. Batarfi
