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Eye Controlled Operation for Disabled People Using EMG

This project aims to help disabled individuals perform various operations using electromyography (EMG) signals acquired from extraocular muscles. The signals are processed, simulated, and implemented to enable tasks like on/off control and speed adjustments. EMG measures muscle electrical impulses during rest and contraction, with amplitudes ranging from 0-10 mV and usable energy between 50-150 Hz. The movements of extraocular muscles like SR, SO, LR, IR, IO, MR control eye directions, such as adduction, abduction, elevation, and depression. Electrodes like EL1(TDE23) are used for signal acquisition, and an EMG amplifier with an INA2128 op-amp ensures high gain and output offset current for accurate muscle signal processing. Factors like noise/artifact problems and proper electrode attachment are considered. Filtering techniques and bias adjustment are employed to enhance signal quality. Each EMG amplifier unit includes a bias adjustment mechanism and utilizes a voltage follower circuit for individual channel processing.

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Eye Controlled Operation for Disabled People Using EMG

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  1. Eye Controlled Operation for Disabled People Using EMG Fahim Ibn Karim (052437) Rashedul Amin Tuhin (052439) Tasnim Manzar (052441) Project webpage: http://eyecontrolled.wordpress.com A Project Presentation by: Supervised By: Prof. Dr. Ashraful Haque EEE Department, IUT

  2. Project Overview • EMG signal acquisition from Extraocular Muscles (Eye movement Muscles) • Processing the signals • Simulation and Implementation Objective Helping disabled people to perform several operations (i.e. simple on/off, speed control etc)

  3. EMG Overview • EMG – Electromyography • Electromyography measures the electrical impulses of muscles at rest and during contraction. • Amplitudes of EMG signal range between 0 to 10 mV (peak-to-peak) or 0 to 1.5 mV (rms). • Frequency of EMG signal is between 0 to 500 Hz. • The usable energy of EMG signal is dominant between 50-150 Hz.

  4. The Human Eye Movement Muscles

  5. Extraocular Muscles Notations: • Superior Rectus (SR) • Superior Oblique (SO) • Lateral Rectus (LR) • Inferior Rectus (IR) • Inferior Oblique (IO) • Media Rectus (MR)

  6. muscle movements A given extraocular muscle moves the pupil, at the front of the eye, in a specific direction or directions, as follows: • medial rectus (MR)— inward, toward the nose (adduction) • lateral rectus (LR)— outward, away from the nose (abduction) • superior rectus (SR)— upward (elevation) • rotates the top of the eye toward the nose (intorsion) • inward (adduction) • inferior rectus (IR)— downward (depression) • rotates the top of the eye away from the nose (extorsion) • inward (adduction) • superior oblique (SO)— • primarily rotates the top of the eye toward the nose (intorsion) • secondarily moves the eye downward (depression) • tertiarily moves the eye outward (abduction) • inferior oblique (IO)— • primarily rotates the top of the eye away from the nose (extorsion) • secondarily moves the eye upward (elevation) • tertiarily moves the eye outward (abduction)

  7. cardinal positions of gaze • Conjugate eye movements • Vergence eye movements • saccadic eye movements • Smooth pursuit movements These movements are simplified • up/right (1.3.5) • up/left (1.6) • Up (1) • Down (4) • right (3) • left (6) • down/right (3,4) • down/left (6,4,2)

  8. Electrodes • Plastic piece and snap on for holding electrode elements • Dimension of 1 inch between electrode contacts • 4 electrode extensions and 1 body reference extension

  9. Electrodes • EL1 (TDE23) 4mm silver / silver chloride electrodes • plugged into the white and black differential measurement sockets • A third positioned anywhere to make “Isolated Ground”

  10. Positions of the Electrodes Positions shown in the diagram above are (right and left): A) Medial frontalis, B) Lateral frontalis, C) Levator labii superioris, D) Zygomaticus major.

  11. EMG Amplifier: Preamplifier • Industry standard instrumentation amplifier op-amp (INA2128) • Accuracy: providing high bandwidth at high gain and output offset current • Differential amplifier circuit with 2 inputs • High gain to boost the EMG signals • Body Reference Circuit or Feed Back (OPA2604)

  12. EMG Amplifier: Preamplifier Factors to be considered: • Boost signal to TTL standard level (± 5 V.) • Enough gain • Noise/Artifact problem • Filter, stability of electrodes attached to skin, proper grounding • DC offset or bias problem • Bias adjustment

  13. EMG Amplifier: Preamplifier Industry standard instrumentation amplifier op-amp (INA2128)

  14. EMG Amplifier: Preamplifier BURR-BROWN INA2128 Application Information

  15. Preamplifier with Body Reference Circuit (1 channel) EMG Amplifier: Preamplifier (cont.) Gain Equation: Find RG at Gain = 1,000: Find Gain at RG = 22 ohm:

  16. EMG Amplifier: Preamplifier (cont.) Preamplifier with Body Reference Circuit (1 channel) Common Mode Rejection Ratio (CMRR) calculation

  17. Inverting Summing Amplifier Circuit Sign Changing Circuit (Inverting Amplifier Circuit) Averaging Body Reference Circuit • Common body reference circuit for 4 channels • Using summing amplifier circuit and sign changing circuit For independent R1, R2, R3, and R4: For independent R1, and R2: For R1= R2= R3= R4: For R1= R2:

  18. Averaging Body Reference Circuit Average Body Reference Circuit

  19. Averaging Body Reference Circuit Common Body Reference Output:

  20. EMG Amplifier: Filter • Suppress noise that has been amplified by the preamplifier • Help to sink any DC current that cause bias to the output • Select particular signal frequency range • Use RC High Pass Filter of 12 Hz

  21. EMG Amplifier: Filter (cont.) 1st orderRC High Pass Filter with Cutoff Frequency of 12Hz 1st order RC High Pass Filter Cutoff Frequency: Cutoff Frequency of 12 Hz:

  22. Amplifier and Bias Adjustment • Provide abilities to amplify and adjust reference level of output signals • Individual amplifier and bias adjustment unit for each channel • Use Non-Inverting circuit for amplifier unit • Use Voltage Follower Offset Adjustment circuit for bias adjustment unit • Provide Gain of 21 times • Provide Offset of ± 9 volts

  23. Amplifier and Bias Adjustment Ideal Non-Inverting Amplifier Circuit Non-Inverting Output:

  24. At : At : Amplifier and Bias Adjustment Amplifier Circuit with Gain Adjustment Amplifier Circuit with Gain Adjustment Amplifier Gain: Computing the value of R34 :

  25. Amplifier and Bias Adjustment Output of the circuit: Offset Adjustment for Voltage Follower

  26. volts ) Case 1: at 0% of : ( ohms; volts ) Case 2: at 50% of : ( ohms; Bias Adjustment Circuit Case 3: at 100% of : ( ohms; volts ) Amplifier and Bias Adjustment Output of the circuit:

  27. volts ) Case 1: at 0% of : ( ohms; volts ) Case 2: at 50% of : ( ohms; Bias Adjustment Circuit Case 3: at 100% of : ( ohms; volts ) Amplifier and Bias Adjustment Output of the circuit:

  28. Limitations of gain and bias adjustment • The output can not exceed +9V or -9V (power supply voltage). • If 2 volts fed and gain is 3 and offset is +2 volts, then the output is [(2x3)+2]=8 volts, and we are ok with it. But If 2 volts fed and gain is 10 and offset is -9 volts, then it gives [(2x10)-9]=11 volts, but opamp will still produce 9 volts.

  29. Future work (Brainstorming … ) • A/D conversion, Normalizing and processing the EMG signals • Simulation and Modification (if needed) • Logic Design for performing different actions • Simulation with MATLAB and Documentation • Code, Code and Code for PIC microcontroller • Implementation to perform several operations (i.e. simple on/off, speed control etc)

  30. Pre AMP RC filter Amp with Bias adjustment EMG amp device Project Block Diagram input Simulation EMG capture prog. EMG capture software ADC ADC Computer MCU/Control circuit output

  31. Sources • S. Siriprayoonsak: "Real-Time Measurement of Prehensile EMG Signals," thesis defense, August 24, 2005, SDSU • Gianluca De Luca: Fundamental Concepts in EMG Signal Acquisition, 2001 Rev.2.1, March 2003, DelSys Inc • Sylvia Ounpuu: Electromyography (EMG) Fundamentals & Interpretation 6/14/1999 Chaoyang University of Technology • "Cursor Control Using Voice and Facial EMG Signals", by Grant Connell

  32. Q & A

  33. Thank you for patient hearing.

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