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  • Today We succeed in Brain computer Interfacing at our Lab. We used 6 serially connected Electrode ( dry) to acquire EMG ( Brain Signal). We than Extracted the features after post processing and Trained a Neural Network at our various thought process.

    The signal acquired from Brain is Processed in PC which controls an External circuit of Bulb.

    Just by thinking that the bulb is getting dimmed, we are able to dim it increase the intensity. Also Switch on and Off are achieved.
    67% accuracy, 32 seconds response time in average. and a dam low cost one with only $50.

    Now the technology will be patented with some more result improvement. Feeling fantastic happy and feeling totally drained out after nearly 3 months of relentless efforts.

    Gotta go to sleep............................ bye Guys!
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  • Ankita Katdare

    Administrator • Dec 28, 2011

    This is awesome Rupam! Pathbreaking. 👍
    We would like to know more about this from you. Do share the video too.
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  • Harshad Italiya

    Member • Dec 28, 2011

    Wow ! Superb Work there Rupam, waiting for some more details. 😀
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  • ISHAN TOPRE

    Member • Dec 28, 2011

    This calls for a video and most importantly a PARTY 😀 Awesome work friend 👍
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  • Kaustubh Katdare

    Administrator • Dec 28, 2011

    Can't wait to see the photos and videos of the wizardry you've done 😉 Thread moved to electronics section.
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  • Harshad Italiya

    Member • Dec 28, 2011

    Signals you are receiving from sensors connected to brain is remains uniform for all humans or it may vary according to person?
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  • Rupam Das

    Member • Jan 4, 2012

    Hello all, First of all thank you all for your posts. 😔 Unfortunately due to some real hard deadline, I am unable to follow CE threads, But here is what is the summery:
    1) There are total 128 Points in brain where neurons meets and where the signal is maximum.
    2) We identified 8 such points where the signal strength is maximum
    3) A Cap was designed with points placed at those points ( They may vary from person to person but will be almost at the same position)
    4) The anode of one point was connected to the cathode of the other.
    5) Finally we took the actual anode and cathode. ( the signal range is 2mV to 27mV)
    6) That signal is amplified using Instrumentation amplifier
    7) The impedance matching was performed by adding a buffer at the output stage.
    8) Signal was read to PC by ATMEG 168 through USB Shield.
    9) This signal is Non stationary.
    10) It is made stationary with STFT.
    11) Features were extracted from the signal ( total 128 features)
    12) We trained a Neural Network with 5000 epochs and .00001 Error rate with 512 Hidden layers. for 4 Input conditions.

    Bingo.........
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  • Rupam Das

    Member • Jan 12, 2012

    Update: Video of Signal Processing part in BCI
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  • Dancer_Engineer

    Member • Jan 12, 2012

    Awesome Rupam. 👍 😀
    Rupam Sir. 😀
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  • Kaustubh Katdare

    Administrator • Jan 12, 2012

    Impressive, Rupam! 😀
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  • Saandeep Sreerambatla

    Member • Jan 21, 2012

    Very good work Rupam. Is this related to the 8 points in lie detector? Curious to know. Thanks!
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  • lovejeet

    Member • Jan 21, 2012

    really awesome work. hats off to the awesome effort you all put in to the project. congrats.
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  • PraveenKumar Purushothaman

    Member • Jan 21, 2012

    Looks cool buddy... Where can we see the demo?
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  • ashuashi

    Member • Jan 24, 2012

    @ Rupam... Gud Job...

    Once fully done and tested, can be further improved to wireless transmission... 👍
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  • Irfan Amin

    Member • Sep 22, 2016

    Rupam Das
    Update: Video of Signal Processing part in BCI
    can you help me in this project. I'm currently working on this project
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