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Electronic Hand Glove for Speed Impaired and Paralyzed Patients
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Electronic Hand Glove for Speed Impaired and Paralyzed Patients

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Electronic Hand Glove for Speed Impaired and Paralyzed Patients Presentation Transcript

  • 1. Electronic Hand Glove for Speech Impaired and Paralyzed patients by NAZISH PERVAIZ
  • 2. Outline of the presentation  Objective.  Block diagram  Data Acquisition Methods  Flex sensors  Main Program’s Flow chart  Advantages of gesture based control.  Other applications of gesture control system
  • 3. Objective  How often do we come across a disabled person, say a visually or speech challenged individual in mainstream life? The truth is that there is often little room for the disabled in the real world.  With our project, we have tried to make a small effort which can be the first step to providing the disabled an aid to establish an independent and sustainable lifestyle.  The basic objective of our project is to develop a portable device for the people who suffer from speech impairment, providing them an aid to communicate easily.
  • 4. Continued….  This project is useful for the people who suffer from speech impairment and use sign language as a means of communication, which is understood only by a few[4]. Similarly it can provide aid to the patients with half of their bodies paralyzed and who are not able to speak but are able move their fingers.  But the sign language vary from region to region and learning it is not an easy task.
  • 5. Motivation  The motivation is American Sign Language (ASL). ASL uses hand shape, position and movement. Body movements, gestures, facial expressions, and other visual cues to form its words[14,15].
  • 6. Block diagram Main components used in the project  Flex sensors  PIC microcontroller with built in ADC.  LCD display.
  • 7. Analog to Digital Converter Microcontroller “GIVE ME WATER” “A” “B”
  • 8. American Sign Language (ASL)
  • 9. Data Acquisition:  EMG  MMG  Conductive fibers  Deterioration of optical fiber  Strain gauge tactile sensor  Flex sensors
  • 10. EMG EMG patterns are different for different individuals •Vary due to location of electrodes •User fatigue •Sweat on skin
  • 11. EMG EMG patterns are different for different individuals •Vary due to location of electrodes •User fatigue •Sweat on skin
  • 12. Coupled microphone accelerometer sensor pair •MMG measurement of muscular vibration •Electrode impedance variation due to sweating •Signals larger than EMG •Less sensitive to precise placement •Special filtering is required
  • 13. Wearable conductive fiber •Change resistance as length of fiber is changed •Placed on flexible fabric •Uncomfortable to wear continuously
  • 14. Deterioration of optical fiber •Depends on amount of light reached •Difficult to deteriorate evenly •Weakens the optical fiber
  • 15. Flex sensors  Flex sensors are the sensors that change in resistance depending on the mount of bend on the sensor. They convert the change in bend to electrical resistance - the more the bend, the more the resistance value [18,19].  They are usually in the form of a thin strip from 1"-5" long  Inside the flex sensor are carbon resistive elements within a thin flexible substrate.  With a typical flex sensor, a flex of 0 degrees will give 10K resistance will a flex of 90 will give 80-100K ohms.  The Bend Sensor lists resistance of 30-250 K ohms.
  • 16. Electrical characteristics Size approx 0.28" wide and 1"/3"/5" long Resistance Range1.5-40K ohms depending on sensor. Flex point claims a 0-250 resistance range. Lifetime Lifetime Greater than 1 million life cycles (rugged) Temperature Range -35 to +80 degrees Celsius Hysteresis 7% Voltage 5 to 12 V
  • 17. As used in the project Vout = V*Rbend / Rbend+Rm
  • 18. Advantages  Economical  Thin, flexible, robust  Simple one piece construction  Operates in a large temperature range  Provides greater accuracy than tradition potentiometer  Able to withstand exposure to moisture in harsh environment
  • 19. Limitations  Major drawback using this sensor is that it is very sensitive to small bends, due to which its output deviates slightly even when the hand is steady.  So to over come this problem we have used it in voltage divider configuration and moreover stitched pockets on the glove so the sensors do not change their position, and defined voltage ranges in out program.  The result of this arrangement is that the output voltage increases with increasing deflection
  • 20. Look up Table D14 D7 B9 F16 B1 a 3.4-3.8 1.9-2.3 1.4-1.7 1.2-1.4 1.7-2.5 b 2.8-3.2 1.3-1.7 1.1-1.3 0.9-1 2-2.3 c 3.1-3.9 1.5-1.9 1.2-1.3 0.9-1.1 2-2.3 d 2.9-3.4 1.8-2 1.3-1.4 1-1.1 1.8-1.9 e 3.4-4.5 1.9-2 1.3-1.5 1.1 2.3-2.6 f 3.3-4.1 1.5-1.6 1.1-1.3 0.9-1 1.7-1.9 g 2.9-3.5 2.1-2.4 1.5-1.7 1.2-1.4 1.7-1.8 h 2.8-3.3 1.4-1.6 1.6-2.1 1.2-1.5 2-2.2 i 3.2-3.7 2.1-2.3 1.6-1.9 0.9-1 2-2.1 j 3.4-4.1 2.1-2.4 1.3-1.8 0.8-0.9 1.9-2.1 k 3.0-3.3 1.4-1.6 1.5-1.9 1.2-1.5 1.7-2 l 3.1-3.3 2.3-2.6 1.6-1.8 1.2-1.5 1.7-1.8
  • 21. m 3.6-3.9 1.9-2.5 1.4-1.7 1.3-1.8 2.1-2.7 n 3.4-3.8 1.8-2.0 1.8-2 1.2-1.6 2.2-2.4 o 3.2-3.8 1.8-2 1.4-1.5 1-1.2 1.8-2 p 2.8-3.3 1.9-2.2 1.5-2 1.4-1.6 1.7-2.2 q 2.9-3.2 2.1-2.3 1.6-1.8 1.1-1.5 1.6-1.9 r 2.9-3.2 1.4-1.7 1.8-2 1.2-1.5 1.9-2.1 s 3.7-4.2 2.2-2.3 1.7-1.9 1.2-1.5 1.8-2.2 t 3.1-3.6 2.2-2.4 1.6-1.8 1.3-1.4 2-2.1 u 3-3.4 1.5-1.6 1.9-2 1.1-1.5 2 v 3-3.8 1.5-1.7 1.5-2 1.2-1.5 2-2.3 w 2.9-3.3 1.5-1.6 1.1-1.3 1-1.2 2-2.3 x 3.4-3.6 2.2-2.6 1.6-2 1.3-1.5 1.9-2.2 y 3.7-3.9 2.2-2.4 1.6-1.7 1-1.1 2-3.6 z 3-3.4 2.3-2.6 1.7-1.9 1.1-1.5 2.0-2.4 Continued…
  • 22. Define a two dimensional array and create a look up table in ROM Read data from ADC port Iterate from A to Z Compare input data with data in look up table Print the alphabet on LCD Display true Increment to next alphabet False Flow chart
  • 23. Advantages of Gesture Based Control. Applications & Future Recommendations
  • 24. Advantages of gesture based control  Does not need Key board, mouse, speech recognition, touch screen etc.  Does not require expensive and sophisticated Devices  Does not need the attendant or Doctor to understand sign language as well.  The subject need not learn complex gestures of different words in ASL.  The prototype can be enhanced to perform various tasks or turn on/off home appliances/equipments automatically.  With the glove on and device worn as a wrist watch, only power cable with battery adapter is required to plug in.  With a text to speech converter the person suffering from speech impairment can actually talk to every one!
  • 25. Applications  In house hold & Security Systems.  In industries.  In biomedicine.  In virtual reality.
  • 26. In house hold & Security Systems.
  • 27. MMG Based Control of a free standing Prosthetic hand:
  • 28. Gesture Based Control of Electronic Wheel Chair
  • 29. In Industries  At high temperatures.  Where Human hands cannot reach.  A robotic hand that can work like a human hand.
  • 30. THANK YOU 